nips_2016.json

[{"Observational-Interventional Priors for Dose-Response Learning": ["Ricardo Silva"], "Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers": ["Veeranjaneyulu Sadhanala", "Yu-Xiang Wang", "Ryan J Tibshirani"], "Iterative Refinement of the Approximate Posterior for Directed Belief Networks": ["Devon Hjelm", "Ruslan Salakhutdinov", "Kyunghyun Cho", "Nebojsa Jojic", "Vince Calhoun", "Junyoung Chung"], "The Forget-me-not Process": ["Kieran Milan", "Joel Veness", "James Kirkpatrick", "Michael Bowling", "Anna Koop", "Demis Hassabis"], "Value Iteration Networks": ["Aviv Tamar", "Sergey Levine", "Pieter Abbeel", "YI WU", "Garrett Thomas"], "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling": ["Jiajun Wu", "Chengkai Zhang", "Tianfan Xue", "Bill Freeman", "Josh Tenenbaum"], "Full-Capacity Unitary Recurrent Neural Networks": ["Scott Wisdom", "Thomas Powers", "John Hershey", "Jonathan Le Roux", "Les Atlas"], "Interpretable Distribution Features with Maximum Testing Power": ["Wittawat Jitkrittum", "Zolt\u00e1n Szab\u00f3", "Kacper P Chwialkowski", "Arthur Gretton"], "Tensor Switching Networks": ["Chuan-Yung Tsai", "Andrew M Saxe", "David Cox"], "Learning the Number of Neurons in Deep Networks": ["Jose M Alvarez", "Mathieu Salzmann"], "CliqueCNN: Deep Unsupervised Exemplar Learning": ["Miguel A Bautista", "Artsiom Sanakoyeu", "Ekaterina Tikhoncheva", "Bjorn Ommer"], "Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models": ["Juho Lee", "Lancelot F James", "Seungjin Choi"], "Bayesian Optimization with Robust Bayesian Neural Networks": ["Jost Tobias Springenberg", "Aaron Klein", "Stefan Falkner", "Frank Hutter"], "Dynamic Network Surgery for Efficient DNNs": ["Yiwen Guo", "Anbang Yao", "Yurong Chen"], "Object based Scene Representations using Fisher Scores of Local Subspace Projections": ["Mandar D Dixit", "Nuno Vasconcelos"], "Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences": ["Daniel Neil", "Michael Pfeiffer", "Shih-Chii Liu"], "Combinatorial Energy Learning for Image Segmentation": ["Jeremy B Maitin-Shepard", "Viren Jain", "Michal Januszewski", "Peter Li", "Pieter Abbeel"], "Variational Autoencoder for Deep Learning of Images, Labels and Captions": ["Yunchen Pu", "Zhe Gan", "Ricardo Henao", "Xin Yuan", "Chunyuan Li", "Andrew Stevens", "Lawrence Carin"], "Safe Policy Improvement by Minimizing Robust Baseline Regret": ["Mohammad Ghavamzadeh", "Marek Petrik", "Yinlam Chow"], "Optimistic Gittins Indices": ["Eli Gutin", "Vivek Farias"], "Reward Augmented Maximum Likelihood for Neural Structured Prediction": ["Mohammad Norouzi", "Samy Bengio", "zhifeng Chen", "Navdeep Jaitly", "Mike Schuster", "Yonghui Wu", "Dale Schuurmans"], "Optimal Cluster Recovery in the Labeled Stochastic Block Model": ["Se-Young Yun", "Alexandre Proutiere"], "Generating Images with Perceptual Similarity Metrics based on Deep Networks": ["Alexey Dosovitskiy", "Thomas Brox"], "Latent Attention For If-Then Program Synthesis": ["Chang Liu", "Xinyun Chen", "Eui Chul Shin", "Mingcheng Chen", "Dawn Song"], "Dual Learning for Machine Translation": ["Di He", "Yingce Xia", "Tao Qin", "Liwei Wang", "Nenghai Yu", "Tieyan Liu", "Wei-Ying Ma"], "Learning Deep Parsimonious Representations": ["Renjie Liao", "Alex Schwing", "Richard Zemel", "Raquel Urtasun"], "Showing versus doing: Teaching by demonstration": ["Mark K Ho", "Michael Littman", "James MacGlashan", "Fiery Cushman", "Joe Austerweil", "Joseph L Austerweil"], "Review Networks for Caption Generation": ["Zhilin Yang", "Ye Yuan", "Yuexin Wu", "William W Cohen", "Ruslan Salakhutdinov"], "Dynamic Filter Networks": ["Xu Jia", "Bert De Brabandere", "Tinne Tuytelaars", "Luc V Gool"], "Learning What and Where to Draw": ["Scott E Reed", "Zeynep Akata", "Santosh Mohan", "Samuel Tenka", "Bernt Schiele", "Honglak Lee"], "Catching heuristics are optimal control policies": ["Boris Belousov", "Gerhard Neumann", "Constantin A Rothkopf", "Jan R Peters"], "Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares": ["Rong Zhu"], "PAC Reinforcement Learning with Rich Observations": ["Akshay Krishnamurthy", "Alekh Agarwal", "John Langford"], "Using Fast Weights to Attend to the Recent Past": ["Jimmy Ba", "Geoffrey E Hinton", "Volodymyr Mnih", "Joel Z Leibo", "Catalin Ionescu"], "Human Decision-Making under Limited Time": ["Pedro A Ortega", "Alan A Stocker"], "Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels": ["Ilya Tolstikhin", "Bharath K. Sriperumbudur", "Prof. Bernhard Sch\u00f6lkopf"], "Towards Conceptual Compression": ["Karol Gregor", "Frederic Besse", "Danilo Jimenez Rezende", "Ivo Danihelka", "Daan Wierstra"], "Convolutional Neural Fabrics": ["Shreyas Saxena", "Jakob Verbeek"], "Near-Optimal Smoothing of Structured Conditional Probability Matrices": ["Moein Falahatgar", "Mesrob I Ohannessian", "Alon Orlitsky"], "Architectural Complexity Measures of Recurrent Neural Networks": ["Saizheng Zhang", "Yuhuai Wu", "Tong Che", "Zhouhan Lin", "Roland Memisevic", "Ruslan Salakhutdinov", "Yoshua Bengio"], "Data driven estimation of Laplace-Beltrami operator": ["Frederic Chazal", "Ilaria Giulini", "Bertrand Michel"], "Measuring the reliability of MCMC inference with bidirectional Monte Carlo": ["Roger B Grosse", "Siddharth Ancha", "Daniel Roy"], "Density Estimation via Discrepancy Based Adaptive Sequential Partition": ["Dangna Li", "Kun Yang", "Wing Hung Wong"], "Learning Transferrable Representations for Unsupervised Domain Adaptation": ["Ozan Sener", "Hyun Oh Song", "Ashutosh Saxena", "Silvio Savarese"], "Deep Learning Games": ["Dale Schuurmans", "Martin A Zinkevich"], "Improved Deep Metric Learning with Multi-class N-pair Loss Objective": ["Kihyuk Sohn"], "Spectral Learning of Dynamic Systems from Nonequilibrium Data": ["Hao Wu", "Frank Noe"], "Completely random measures for modelling block-structured sparse networks": ["Tue Herlau", "Mikkel N Schmidt", "Morten M\u00f8rup"], "A Unified Approach for Learning the Parameters of Sum-Product Networks": ["Han Zhao", "Pascal Poupart", "Geoffrey J Gordon"], "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks": ["Yarin Gal", "Zoubin Ghahramani"], "Understanding the Effective Receptive Field in Deep Convolutional Neural Networks": ["Wenjie Luo", "Yujia Li", "Raquel Urtasun", "Richard Zemel"], "Poisson-Gamma dynamical systems": ["Aaron Schein", "Hanna Wallach", "Mingyuan Zhou"], "Exponential expressivity in deep neural networks through transient chaos": ["Ben Poole", "Subhaneil Lahiri", "Maithreyi Raghu", "Jascha Sohl-Dickstein", "Surya Ganguli"], "Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables": ["Mauro Scanagatta", "Giorgio Corani", "Cassio P de Campos", "Marco Zaffalon"], "CRF-CNN: Modeling Structured Information in Human Pose Estimation": ["Xiao Chu", "Wanli Ouyang", "hongsheng Li", "Xiaogang Wang"], "Distributed Flexible Nonlinear Tensor Factorization": ["Shandian Zhe", "Kai Zhang", "Pengyuan Wang", "Kuang-chih Lee", "Zenglin Xu", "Yuan Qi", "Zoubin Ghahramani"], "Generating Long-term Trajectories Using Deep Hierarchical Networks": ["Stephan Zheng", "Yisong Yue", "Patrick Lucey"], "Optimal Architectures in a Solvable Model of Deep Networks": ["Jonathan Kadmon", "Haim Sompolinsky"], "Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease": ["Hao Zhou", "Vamsi K Ithapu", "Sathya Narayanan Ravi", "Vikas Singh", "Grace Wahba", "Sterling C Johnson"], "Measuring Neural Net Robustness with Constraints": ["Osbert Bastani", "Yani Ioannou", "Leonidas Lampropoulos", "Dimitrios Vytiniotis", "Aditya Nori", "Antonio Criminisi"], "Disentangling factors of variation in deep representation using adversarial training": ["Michael F Mathieu", "Junbo Zhao", "Junbo Jake Zhao", "Aditya Ramesh", "Pablo Sprechmann", "Yann LeCun"], "Sequential Neural Models with Stochastic Layers": ["Marco Fraccaro", "S\u00f8ren Kaae S\u00f8nderby", "Ulrich Paquet", "Ole Winther"], "How Deep is the Feature Analysis underlying Rapid Visual Categorization?": ["Sven Eberhardt", "Jonah G Cader", "Thomas Serre"], "Adaptive Concentration Inequalities for Sequential Decision Problems": ["Shengjia Zhao", "Enze Zhou", "Ashish Sabharwal", "Stefano Ermon"], "Spatiotemporal Residual Networks for Video Action Recognition": ["Christoph Feichtenhofer", "Axel Pinz", "Richard Wildes"], "End-to-End Goal-Driven Web Navigation": ["Rodrigo Nogueira", "Kyunghyun Cho"], "Doubly Convolutional Neural Networks": ["Shuangfei Zhai", "Yu Cheng", "Weining Lu", "Zhongfei (Mark) Zhang"], "More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning": ["Xinyang Yi", "Zhaoran Wang", "Zhuoran Yang", "Constantine Caramanis", "Han Liu"], "Discriminative Gaifman Models": ["Mathias Niepert"], "Coupled Generative Adversarial Networks": ["Ming-Yu Liu", "Oncel Tuzel"], "Deep Learning for Predicting Human Strategic Behavior": ["Jason S Hartford", "James R Wright", "Kevin Leyton-Brown"], "PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions": ["Mikhail Figurnov", "Aizhan Ibraimova", "Dmitry P Vetrov", "Pushmeet Kohli"], "Learning shape correspondence with anisotropic convolutional neural networks": ["Davide Boscaini", "Jonathan Masci", "Emanuele Rodol\u00e0", "Michael Bronstein"], "An Architecture for Deep, Hierarchical Generative Models": ["Philip Bachman"], "Universal Correspondence Network": ["Christopher B Choy", "Manmohan Chandraker", "JunYoung Gwak", "Silvio Savarese"], "Can Active Memory Replace Attention?": ["\u0141ukasz Kaiser", "Samy Bengio"], "Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes": ["Jack Rae", "Jonathan J Hunt", "Ivo Danihelka", "Timothy Harley", "Andrew W Senior", "Gregory Wayne", "Alex Graves", "Tim Lillicrap"], "Unsupervised Domain Adaptation with Residual Transfer Networks": ["Mingsheng Long", "Han Zhu", "Jianmin Wang", "Michael I Jordan"], "Learning feed-forward one-shot learners": ["Luca Bertinetto", "Jo\u00e3o F. Henriques", "Jack Valmadre", "Philip Torr", "Andrea Vedaldi"], "Simple and Efficient Weighted Minwise Hashing": ["Anshumali Shrivastava"], "Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences": ["Chi Jin", "Yuchen Zhang", "Sivaraman Balakrishnan", "Martin J Wainwright", "Michael I Jordan"], "Scaled Least Squares Estimator for GLMs in Large-Scale Problems": ["Murat A Erdogdu", "Lee H Dicker", "Mohsen Bayati"], "Deep ADMM-Net for Compressive Sensing MRI": ["yan yang", "Jian Sun", "Huibin Li", "Zongben Xu"], "The Robustness of Estimator Composition": ["Pingfan Tang", "Jeff M Phillips"], "Bayesian optimization under mixed constraints  with a slack-variable augmented Lagrangian": ["Victor Picheny", "Robert B Gramacy", "Stefan Wild", "Sebastien Le Digabel"], "Binarized Neural Networks": ["Itay Hubara", "Matthieu Courbariaux", "Daniel Soudry", "Ran El-Yaniv", "Yoshua Bengio"], "Learning Structured Sparsity in Deep Neural Networks": ["Wei Wen", "Chunpeng Wu", "Yandan Wang", "Yiran Chen", "Hai Li"], "FPNN: Field Probing Neural Networks for 3D Data": ["Yangyan Li", "Soeren Pirk", "Hao Su", "Charles R Qi", "Leonidas J Guibas"], "Learning under uncertainty: a comparison between R-W and Bayesian approach": ["He Huang", "Martin Paulus"], "Edge-exchangeable graphs and sparsity": ["Diana Cai", "Trevor Campbell", "Tamara Broderick"], "Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling": ["Chengtao Li", "Suvrit Sra", "Stefanie Jegelka"], "Deep Exploration via Bootstrapped DQN": ["Ian Osband", "Charles Blundell", "Alexander Pritzel", "Benjamin Van Roy"], "An Online Sequence-to-Sequence Model Using Partial Conditioning": ["Navdeep Jaitly", "Quoc V Le", "Oriol Vinyals", "Ilya Sutskever", "David Sussillo", "Samy Bengio"], "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks": ["Anh Nguyen", "Alexey Dosovitskiy", "Jason Yosinski", "Thomas Brox", "Jeff Clune"], "Safe and Efficient Off-Policy Reinforcement Learning": ["Remi Munos", "Tom Stepleton", "Anna Harutyunyan", "Marc Bellemare"], "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets": ["Xi Chen", "Xi Chen", "Yan Duan", "Rein Houthooft", "John Schulman", "Ilya Sutskever", "Pieter Abbeel"], "Swapout: Learning an ensemble of deep architectures": ["Saurabh Singh", "Derek Hoiem", "David Forsyth"], "R\u00e9nyi Divergence Variational Inference": ["Yingzhen Li", "Richard E Turner"], "Dense Associative Memory for Pattern Recognition": ["Dmitry Krotov", "John J. Hopfield"], "Ladder Variational Autoencoders": ["Casper Kaae S\u00f8nderby", "Tapani Raiko", "Lars Maal\u00f8e", "S\u00f8ren Kaae S\u00f8nderby", "Ole Winther"], "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization": ["Sebastian Nowozin", "Botond Cseke", "Ryota Tomioka"], "Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions": ["Ayan Chakrabarti", "Jingyu Shao", "Greg Shakhnarovich"], "Linear Feature Encoding for Reinforcement Learning": ["Zhao Song", "Ronald Parr", "Xuejun Liao", "Lawrence Carin"], "Neural Universal Discrete Denoiser": ["Taesup Moon", "Seonwoo Min", "Byunghan Lee", "Sungroh Yoon"], "Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks": ["Tianfan Xue", "Jiajun Wu", "Katherine Bouman", "Bill Freeman"], "Bayesian Intermittent Demand Forecasting for Large Inventories": ["Matthias W Seeger", "David Salinas", "Valentin Flunkert"], "Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles": ["Stefan Lee", "Senthil Purushwalkam Shiva Prakash", "Michael Cogswell", "Viresh Ranjan", "David Crandall", "Dhruv Batra"], "Improving PAC Exploration Using the Median Of Means": ["Jason Pazis", "Ronald Parr", "Jonathan P How"], "Global Analysis of Expectation Maximization for Mixtures of Two Gaussians": ["Ji Xu", "Daniel Hsu", "Adrian Maleki"], "R-FCN: Object Detection via Region-based Fully Convolutional Networks": ["jifeng dai", "Yi Li", "Kaiming He", "Jian Sun"], "Diffusion-Convolutional Neural Networks": ["James Atwood", "Don Towsley"], "Estimating the Size of a Large Network and its Communities from a Random Sample": ["Lin Chen", "Amin Karbasi", "Forrest W. Crawford"], "Matching Networks for One Shot Learning": ["Oriol Vinyals", "Charles Blundell", "Tim Lillicrap", "koray kavukcuoglu", "Daan Wierstra"], "Conditional Generative Moment-Matching Networks": ["Yong Ren", "Jun Zhu", "Jialian Li", "Yucen Luo"], "Composing graphical models with neural networks for structured representations and fast inference": ["Matthew Johnson", "David Duvenaud", "Alex Wiltschko", "Ryan P Adams", "Sandeep R Datta"], "CNNpack: Packing Convolutional Neural Networks in the Frequency Domain": ["Yunhe Wang", "Chang Xu", "Shan You", "Dacheng Tao", "Chao Xu"], "Adaptive Neural Compilation": ["Rudy R Bunel", "Alban Desmaison", "Pawan K Mudigonda", "Pushmeet Kohli", "Philip Torr"], "Towards Unifying Hamiltonian Monte Carlo and Slice Sampling": ["Yizhe Zhang", "Xiangyu Wang", "Changyou Chen", "Ricardo Henao", "Kai Fan", "Lawrence Carin"], "VIME: Variational Information Maximizing Exploration": ["Rein Houthooft", "Xi Chen", "Xi Chen", "Yan Duan", "John Schulman", "Filip De Turck", "Pieter Abbeel"], "Learning to learn by gradient descent by gradient descent": ["Marcin Andrychowicz", "Misha Denil", "Sergio G\u00f3mez", "Matthew W Hoffman", "David Pfau", "Tom Schaul", "Nando de Freitas"], "Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics": ["Wei-Shou Hsu", "Pascal Poupart"], "A Pseudo-Bayesian Algorithm for Robust PCA": ["Tae-Hyun Oh", "Yasuyuki Matsushita", "In Kweon", "David Wipf"], "Conditional Image Generation with PixelCNN Decoders": ["Aaron van den Oord", "Nal Kalchbrenner", "Lasse Espeholt", "koray kavukcuoglu", "Oriol Vinyals", "Alex Graves"], "Single-Image Depth Perception in the Wild": ["Weifeng Chen", "Zhao Fu", "Dawei Yang", "Jia Deng"], "Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula": ["jean barbier", "Mohamad Dia", "Nicolas Macris", "Lenka Zdeborova", "Thibault Lesieur", "Florent Krzakala"], "Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes": ["Hassan A Kingravi", "Harshal R Maske", "Girish Chowdhary"], "Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections": ["Xiaojiao Mao", "Chunhua Shen", "Yu-Bin Yang"], "Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations": ["Kirthevasan Kandasamy", "Gautam Dasarathy", "Junier B Oliva", "Jeff Schneider", "Barnabas Poczos"], "Brains on Beats": ["Umut G\u00fc\u00e7l\u00fc", "Jordy Thielen", "Michael Hanke", "Marcel van Gerven", "Marcel A. J. van Gerven"], "SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques": ["Elad Richardson", "Rom Herskovitz", "Boris Ginsburg", "Michael Zibulevsky"], "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning": ["Mehdi Sajjadi", "Mehran Javanmardi", "Tolga Tasdizen"], "A Minimax Approach to Supervised Learning": ["Farzan Farnia", "David Tse"], "DeepMath - Deep Sequence Models for Premise Selection": ["Geoffrey Irving", "Christian Szegedy", "Niklas Een", "Alexander A Alemi", "Francois Chollet", "Josef Urban"], "Stochastic Gradient Geodesic MCMC Methods": ["Chang Liu", "Jun Zhu", "Yang Song"], "On Robustness of Kernel Clustering": ["Bowei Yan", "Purnamrita Sarkar"], "Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks": ["Hao Wang", "Xingjian SHI", "Dit-Yan Yeung"], "Multivariate tests of association based on univariate tests": ["Ruth Heller", "Yair Heller"], "Unsupervised Learning for Physical Interaction through Video Prediction": ["Chelsea Finn", "Ian Goodfellow", "Sergey Levine"], "Learning to Poke by Poking: Experiential Learning of Intuitive Physics": ["Pulkit Agrawal", "Ashvin V Nair", "Pieter Abbeel", "Jitendra Malik", "Sergey Levine"], "Strategic Attentive Writer for Learning Macro-Actions": ["Alexander (Sasha) Vezhnevets", "Volodymyr Mnih", "Simon Osindero", "Alex Graves", "Oriol Vinyals", "John Agapiou", "koray kavukcuoglu"], "An equivalence between high dimensional Bayes optimal inference and M-estimation": ["Madhu Advani", "Surya Ganguli"], "Differential Privacy without Sensitivity": ["Kentaro Minami", "HItomi Arai", "Issei Sato", "Hiroshi Nakagawa"], "Reshaped Wirtinger Flow for Solving Quadratic System of Equations": ["Huishuai Zhang", "Yingbin Liang"], "Safe Exploration in Finite Markov Decision Processes with Gaussian Processes": ["Matteo Turchetta", "Felix Berkenkamp", "Andreas Krause"], "Computing and maximizing influence in linear threshold and triggering models": ["Justin T Khim", "Varun Jog", "Po-Ling Loh"], "Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition": ["Theodore Bluche"], "Learning to Communicate with Deep Multi-Agent Reinforcement Learning": ["Jakob Foerster", "Yannis M. Assael", "Nando de Freitas", "Shimon Whiteson"], "Local Similarity-Aware Deep Feature Embedding": ["Chen Huang", "Chen Change Loy", "Xiaoou Tang"], "Threshold Learning for Optimal Decision Making": ["Nathan F Lepora"], "Learning Multiagent Communication with Backpropagation": ["Sainbayar Sukhbaatar", "arthur szlam", "Rob Fergus"], "Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow": ["Gang Wang", "Georgios Giannakis"], "Relevant sparse codes with variational information bottleneck": ["Matthew Chalk", "Olivier Marre", "Gasper Tkacik"], "Flexible Models for Microclustering with Application to Entity Resolution": ["Brenda Betancourt", "Giacomo Zanella", "Jeffrey Miller", "Hanna Wallach", "Abbas Zaidi", "Beka Steorts"], "Bayesian optimization for automated model selection": ["Gustavo Malkomes", "Charles Schaff", "Roman Garnett"], "Incremental Variational Sparse Gaussian Process Regression": ["Ching-An Cheng", "Byron Boots"], "A Probabilistic Framework for Deep Learning": ["Ankit B Patel", "Minh Tan Nguyen", "Richard Baraniuk"], "Efficient state-space modularization for planning: theory, behavioral and neural signatures": ["Daniel McNamee", "Daniel M Wolpert", "Mate Lengyel"], "Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation": ["Ilija Bogunovic", "Jonathan Scarlett", "Andreas Krause", "Volkan Cevher"], "Learning values across many orders of magnitude": ["Hado van Hasselt", "Arthur Guez", "Arthur Guez", "Matteo Hessel", "Volodymyr Mnih", "David Silver"], "Efficient Nonparametric Smoothness Estimation": ["Shashank Singh", "Simon S Du", "Barnabas Poczos"], "Improving Variational Autoencoders with Inverse Autoregressive Flow": ["Diederik P Kingma", "Tim Salimans", "Rafal Jozefowicz", "Xi Chen", "Xi Chen", "Ilya Sutskever", "Max Welling"], "Multimodal Residual Learning for Visual QA": ["Jin-Hwa Kim", "Sang-Woo Lee", "Donghyun Kwak", "Min-Oh Heo", "Jeonghee Kim", "Jung-Woo Ha", "Byoung-Tak Zhang"], "Learning a Metric Embedding  for Face Recognition using the Multibatch Method": ["Oren Tadmor", "Tal Rosenwein", "Shai Shalev-Shwartz", "Yonatan Wexler", "Amnon Shashua"], "Direct Feedback Alignment Provides Learning in Deep Neural Networks": ["Arild N\u00f8kland"], "Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision": ["Xinchen Yan", "Jimei Yang", "Ersin Yumer", "Yijie Guo", "Honglak Lee"], "Probing the Compositionality of Intuitive Functions": ["Eric Schulz", "Josh Tenenbaum", "David Duvenaud", "Maarten Speekenbrink", "Samuel J Gershman"], "Guided Policy Search via Approximate Mirror Descent": ["William H Montgomery", "Sergey Levine"], "Improved Techniques for Training GANs": ["Tim Salimans", "Ian Goodfellow", "Wojciech Zaremba", "Vicki Cheung", "Alec Radford", "Xi Chen", "Xi Chen"], "An urn model for majority voting in classification ensembles": ["Victor Soto", "Alberto Su\u00e1rez", "Gonzalo Martinez-Mu\u00f1oz"], "A Communication-Efficient Parallel Algorithm for Decision Tree": ["Qi Meng", "Guolin Ke", "Taifeng Wang", "Wei Chen", "Qiwei Ye", "Zhi-Ming Ma", "Tieyan Liu"], "Understanding Probabilistic Sparse Gaussian Process Approximations": ["Matthias Bauer", "Mark van der Wilk", "Carl Edward Rasmussen"], "Stochastic Variational Deep Kernel Learning": ["Andrew G Wilson", "Zhiting Hu", "Ruslan Salakhutdinov", "Eric P Xing"], "Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much": ["Bryan He", "Christopher M De Sa", "Ioannis Mitliagkas", "Christopher R\u00e9"], "Average-case hardness of RIP certification": ["Tengyao Wang", "Quentin Berthet", "Yaniv Plan"], "Robustness of classifiers: from adversarial to random noise": ["Alhussein Fawzi", "Seyed-Mohsen Moosavi-Dezfooli", "Pascal Frossard"], "Estimating the class prior and posterior from noisy positives and unlabeled data": ["Shantanu J Jain", "Martha White", "Predrag Radivojac"], "Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA": ["Aapo Hyvarinen", "Hiroshi Morioka"], "Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation": ["Jianxu Chen", "Lin Yang", "Yizhe Zhang", "Mark Alber", "Danny Z Chen"], "Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods": ["Cristina Savin", "Gasper Tkacik"], "Generative Adversarial Imitation Learning": ["Jonathan Ho", "Stefano Ermon"], "Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks": ["Noah Apthorpe", "Alexander Riordan", "Robert Aguilar", "Jan Homann", "Yi Gu", "David Tank", "H. Sebastian Seung"], "A Powerful Generative Model Using Random Weights for the Deep Image Representation": ["Kun He", "Yan Wang", "John Hopcroft"], "High Dimensional Structured Superposition Models": ["Qilong Gu", "Arindam Banerjee"], "Integrated perception with recurrent multi-task neural networks": ["Hakan Bilen", "Andrea Vedaldi"], "Probabilistic Linear Multistep Methods": ["Onur Teymur", "Kostas Zygalakis", "Ben Calderhead"], "Infinite Hidden Semi-Markov Modulated Interaction Point Process": ["matt zhang", "Peng Lin", "Peng Lin", "Ting Guo", "Yang Wang", "Yang Wang", "Fang Chen"], "Kernel Bayesian Inference with Posterior Regularization": ["Yang Song", "Jun Zhu", "Yong Ren"], "End-to-End Kernel Learning with Supervised Convolutional Kernel Networks": ["Julien Mairal"], "Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition": ["Jinzhuo Wang", "Wenmin Wang", "xiongtao Chen", "Ronggang Wang", "Wen Gao"], "Statistical Inference for Pairwise Graphical Models Using Score Matching": ["Ming Yu", "Mladen Kolar", "Varun Gupta"], "Statistical Inference for Cluster Trees": ["Jisu KIM", "Yen-Chi Chen", "Sivaraman Balakrishnan", "Alessandro Rinaldo", "Larry Wasserman"], "Long-term Causal Effects via Behavioral Game Theory": ["Panagiotis Toulis", "David C Parkes"], "Adaptive Skills Adaptive Partitions (ASAP)": ["Daniel J Mankowitz", "Timothy A Mann", "Shie Mannor"], "Batched Gaussian Process Bandit Optimization via Determinantal Point Processes": ["Tarun Kathuria", "Amit Deshpande", "Pushmeet Kohli"], "Unsupervised Learning of 3D Structure from Images": ["Danilo Jimenez Rezende", "S. M. Ali Eslami", "Shakir Mohamed", "Peter Battaglia", "Max Jaderberg", "Nicolas Heess"], "Learning Sensor Multiplexing Design through Back-propagation": ["Ayan Chakrabarti"], "Coresets for Scalable Bayesian Logistic Regression": ["Jonathan Huggins", "Trevor Campbell", "Tamara Broderick"], "Wasserstein Training of Restricted Boltzmann Machines": ["Gr\u00e9goire Montavon", "Klaus-Robert M\u00fcller", "Marco Cuturi"], "Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices": ["Kirthevasan Kandasamy", "Maruan Al-Shedivat", "Eric P Xing"], "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering": ["Micha\u00ebl Defferrard", "Xavier Bresson", "Pierre Vandergheynst"], "Learnable Visual Markers": ["Oleg Grinchuk", "Vadim Lebedev", "Victor Lempitsky"], "(Withdrawn)Only H is left: Near-tight Episodic PAC RL": ["Christoph Dann", "Emma Brunskill"], "The Parallel Knowledge Gradient Method for Batch Bayesian Optimization": ["Jian Wu", "Peter Frazier"], "Unifying Count-Based Exploration and Intrinsic Motivation": ["Marc Bellemare", "Sriram Srinivasan", "Georg Ostrovski", "Tom Schaul", "David Saxton", "Remi Munos"], "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks": ["Xiang Li", "Tao Qin", "Jian Yang", "Xiaolin Hu", "Tieyan Liu"], "Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods": ["Antoine Gautier", "Quynh N Nguyen", "Matthias Hein"], "Maximal Sparsity with Deep Networks?": ["Bo Xin", "Yizhou Wang", "Wen Gao", "Baoyuan Wang", "David Wipf"], "Memory-Efficient Backpropagation Through Time": ["Audrunas Gruslys", "Remi Munos", "Ivo Danihelka", "Marc Lanctot", "Alex Graves"], "Interaction Networks for Learning about Objects, Relations and Physics": ["Peter Battaglia", "Razvan Pascanu", "Matthew Lai", "Danilo Jimenez Rezende", "koray kavukcuoglu"], "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation": ["Tejas D Kulkarni", "Karthik Narasimhan", "Ardavan Saeedi", "Josh Tenenbaum"], "Backprop KF: Learning Discriminative Deterministic State Estimators": ["Tuomas Haarnoja", "Anurag Ajay", "Sergey Levine", "Pieter Abbeel"], "Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations": ["Behnam Neyshabur", "Yuhuai Wu", "Ruslan Salakhutdinov", "Nati Srebro"], "Adaptive optimal training of animal behavior": ["Ji Hyun Bak", "Jung Choi", "Athena Akrami", "Ilana Witten", "Jonathan W Pillow"], "Local Minimax Complexity of Stochastic Convex Optimization": ["sabyasachi chatterjee", "John C Duchi", "John Lafferty", "Yuancheng Zhu"], "Fast \u03b5-free Inference of Simulation Models with Bayesian Conditional Density Estimation": ["George Papamakarios", "Iain Murray"], "Structured Matrix Recovery via the Generalized Dantzig Selector": ["Sheng Chen", "Arindam Banerjee"], "Learning Deep Embeddings with Histogram Loss": ["Evgeniya Ustinova", "Victor Lempitsky"], "Domain Separation Networks": ["Konstantinos Bousmalis", "George Trigeorgis", "Nathan Silberman", "Dilip Krishnan", "Dumitru Erhan"], "Scalable Adaptive Stochastic Optimization Using Random Projections": ["Gabriel Krummenacher", "Brian McWilliams", "Yannic Kilcher", "Joachim M Buhmann", "Nicolai Meinshausen"], "Unsupervised Learning of Spoken Language with Visual Context": ["David Harwath", "Antonio Torralba", "James Glass"], "Attend, Infer, Repeat: Fast Scene Understanding with Generative Models": ["S. M. Ali Eslami", "Nicolas Heess", "Theophane Weber", "Yuval Tassa", "David Szepesvari", "koray kavukcuoglu", "Geoffrey E Hinton"], "Residual Networks Behave Like Ensembles of Relatively Shallow Networks": ["Andreas Veit", "Michael J Wilber", "Serge Belongie"], "Accelerating Stochastic Composition Optimization": ["Mengdi Wang", "Ji Liu", "Ethan Fang"], "SURGE: Surface Regularized Geometry Estimation from a Single Image": ["Peng Wang", "Xiaohui Shen", "Bryan Russell", "Scott Cohen", "Brian Price", "Alan L Yuille"], "Deep Neural Networks with Inexact Matching for Person Re-Identification": ["Arulkumar Subramaniam", "Moitreya Chatterjee", "Anurag Mittal"], "Improved Dropout for Shallow and Deep Learning": ["Zhe Li", "Boqing Gong", "Tianbao Yang"], "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks": ["Tim Salimans", "Diederik P Kingma"], "Professor Forcing: A New Algorithm for Training Recurrent Networks": ["Alex M Lamb", "Anirudh Goyal ALIAS PARTH GOYAL", "Ying Zhang", "Saizheng Zhang", "Aaron C Courville", "Yoshua Bengio"], "Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach": ["Remi Lam", "Karen Willcox", "David Wolpert"], "PAC-Bayesian Theory Meets Bayesian Inference": ["Pascal Germain", "Francis Bach", "Alexandre Lacoste", "Simon Lacoste-Julien"], "DISCO Nets : DISsimilarity COefficients Networks": ["Diane Bouchacourt", "Pawan K Mudigonda", "Sebastian Nowozin"], "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images": ["Junhua Mao", "Jiajing Xu", "Kevin Jing", "Alan L Yuille"], "Gaussian Processes for Survival Analysis": ["Tamara Fernandez", "Nicolas Rivera", "Yee Whye Teh"], "On Multiplicative Integration with Recurrent Neural Networks": ["Yuhuai Wu", "Saizheng Zhang", "Ying Zhang", "Yoshua Bengio", "Ruslan Salakhutdinov"], "Hierarchical Question-Image Co-Attention for Visual Question Answering": ["Jiasen Lu", "Jianwei Yang", "Dhruv Batra", "Devi Parikh"], "Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes": ["Chris Junchi Li", "Zhaoran Wang", "Han Liu"], "Dialog-based Language Learning": ["Jason E Weston"], "A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification": ["Steven Cheng-Xian Li", "Benjamin M Marlin"], "Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators": ["Shashank Singh", "Barnabas Poczos"], "Proximal Deep Structured Models": ["Shenlong Wang", "Sanja Fidler", "Raquel Urtasun"], "Natural-Parameter Networks: A Class of Probabilistic Neural Networks": ["Hao Wang", "Xingjian SHI", "Dit-Yan Yeung"], "Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo": ["Alain Durmus", "Umut Simsekli", "Eric Moulines", "Roland Badeau", "Ga\u00ebl RICHARD"], "A Bayesian method for reducing bias in neural representational similarity analysis": ["Mingbo Cai", "Nicolas W Schuck", "Jonathan W Pillow", "Yael Niv"], "Bayesian Optimization for Probabilistic Programs": ["Tom Rainforth", "Tuan Anh Le", "Jan-Willem van de Meent", "Michael A Osborne", "Frank Wood"], "Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation": ["Weihao Gao", "Sewoong Oh", "Pramod Viswanath"], "Tagger: Deep Unsupervised Perceptual Grouping": ["Klaus Greff", "Antti Rasmus", "Mathias Berglund", "Tele Hao", "Harri Valpola", "J\u00fcrgen Schmidhuber"], "The Generalized Reparameterization Gradient": ["Francisco R Ruiz", "Michalis Titsias RC AUEB", "David Blei"], "Deep Learning without Poor Local Minima": ["Kenji Kawaguchi"]}, {"Observational-Interventional Priors for Dose-Response Learning": ["BY"], "Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers": ["DL"], "Iterative Refinement of the Approximate Posterior for Directed Belief Networks": ["DL"], "The Forget-me-not Process": ["BY"], "Value Iteration Networks": ["DL", "RL"], "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling": ["DL"], "Full-Capacity Unitary Recurrent Neural Networks": ["DL"], "Interpretable Distribution Features with Maximum Testing Power": ["DL"], "Tensor Switching Networks": ["DL"], "Learning the Number of Neurons in Deep Networks": ["DL"], "CliqueCNN: Deep Unsupervised Exemplar Learning": ["DL"], "Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models": ["DL", "BY"], "Bayesian Optimization with Robust Bayesian Neural Networks": ["DL"], "Dynamic Network Surgery for Efficient DNNs": ["DL"], "Object based Scene Representations using Fisher Scores of Local Subspace Projections": ["DL"], "Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences": ["DL"], "Combinatorial Energy Learning for Image Segmentation": ["DL"], "Variational Autoencoder for Deep Learning of Images, Labels and Captions": ["DL"], "Safe Policy Improvement by Minimizing Robust Baseline Regret": ["RL"], "Optimistic Gittins Indices": ["RL"], "Reward Augmented Maximum Likelihood for Neural Structured Prediction": ["DL"], "Optimal Cluster Recovery in the Labeled Stochastic Block Model": ["DL"], "Generating Images with Perceptual Similarity Metrics based on Deep Networks": ["DL"], "Latent Attention For If-Then Program Synthesis": ["DL"], "Dual Learning for Machine Translation": ["DL"], "Learning Deep Parsimonious Representations": ["DL"], "Showing versus doing: Teaching by demonstration": ["RL"], "Review Networks for Caption Generation": ["DL"], "Dynamic Filter Networks": ["DL"], "Learning What and Where to Draw": ["DL"], "Catching heuristics are optimal control policies": ["RL"], "Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares": ["DL"], "PAC Reinforcement Learning with Rich Observations": ["RL"], "Using Fast Weights to Attend to the Recent Past": ["DL"], "Human Decision-Making under Limited Time": ["RL"], "Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels": ["DL"], "Towards Conceptual Compression": ["DL"], "Convolutional Neural Fabrics": ["DL"], "Near-Optimal Smoothing of Structured Conditional Probability Matrices": ["DL"], "Architectural Complexity Measures of Recurrent Neural Networks": ["DL"], "Data driven estimation of Laplace-Beltrami operator": ["DL"], "Measuring the reliability of MCMC inference with bidirectional Monte Carlo": ["BY"], "Density Estimation via Discrepancy Based Adaptive Sequential Partition": ["DL"], "Learning Transferrable Representations for Unsupervised Domain Adaptation": ["DL"], "Deep Learning Games": ["DL"], "Improved Deep Metric Learning with Multi-class N-pair Loss Objective": ["DL"], "Spectral Learning of Dynamic Systems from Nonequilibrium Data": ["DL"], "Completely random measures for modelling block-structured sparse networks": ["BY"], "A Unified Approach for Learning the Parameters of Sum-Product Networks": ["DL"], "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks": ["DL"], "Understanding the Effective Receptive Field in Deep Convolutional Neural Networks": ["DL"], "Poisson-Gamma dynamical systems": ["BY"], "Exponential expressivity in deep neural networks through transient chaos": ["DL"], "Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables": ["DL"], "CRF-CNN: Modeling Structured Information in Human Pose Estimation": ["DL"], "Distributed Flexible Nonlinear Tensor Factorization": ["BY"], "Generating Long-term Trajectories Using Deep Hierarchical Networks": ["DL", "RL"], "Optimal Architectures in a Solvable Model of Deep Networks": ["DL"], "Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease": ["DL"], "Measuring Neural Net Robustness with Constraints": ["DL"], "Disentangling factors of variation in deep representation using adversarial training": ["DL"], "Sequential Neural Models with Stochastic Layers": ["DL"], "How Deep is the Feature Analysis underlying Rapid Visual Categorization?": ["DL"], "Adaptive Concentration Inequalities for Sequential Decision Problems": ["DL"], "Spatiotemporal Residual Networks for Video Action Recognition": ["DL"], "End-to-End Goal-Driven Web Navigation": ["DL"], "Doubly Convolutional Neural Networks": ["DL"], "More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning": ["DL"], "Discriminative Gaifman Models": ["DL"], "Coupled Generative Adversarial Networks": ["DL"], "Deep Learning for Predicting Human Strategic Behavior": ["DL"], "PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions": ["DL"], "Learning shape correspondence with anisotropic convolutional neural networks": ["DL"], "An Architecture for Deep, Hierarchical Generative Models": ["DL"], "Universal Correspondence Network": ["DL"], "Can Active Memory Replace Attention?": ["DL"], "Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes": ["DL"], "Unsupervised Domain Adaptation with Residual Transfer Networks": ["DL"], "Learning feed-forward one-shot learners": ["DL"], "Simple and Efficient Weighted Minwise Hashing": ["DL"], "Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences": ["DL"], "Scaled Least Squares Estimator for GLMs in Large-Scale Problems": ["DL"], "Deep ADMM-Net for Compressive Sensing MRI": ["DL"], "The Robustness of Estimator Composition": ["DL"], "Bayesian optimization under mixed constraints  with a slack-variable augmented Lagrangian": ["BY"], "Binarized Neural Networks": ["DL"], "Learning Structured Sparsity in Deep Neural Networks": ["DL"], "FPNN: Field Probing Neural Networks for 3D Data": ["DL"], "Learning under uncertainty: a comparison between R-W and Bayesian approach": ["RL", "BY"], "Edge-exchangeable graphs and sparsity": ["BY"], "Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling": ["BY"], "Deep Exploration via Bootstrapped DQN": ["DL", "RL"], "An Online Sequence-to-Sequence Model Using Partial Conditioning": ["DL"], "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks": ["DL"], "Safe and Efficient Off-Policy Reinforcement Learning": ["RL"], "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets": ["DL"], "Swapout: Learning an ensemble of deep architectures": ["DL"], "R\u00e9nyi Divergence Variational Inference": ["DL"], "Dense Associative Memory for Pattern Recognition": ["DL"], "Ladder Variational Autoencoders": ["DL", "BY"], "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization": ["DL"], "Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions": ["DL"], "Linear Feature Encoding for Reinforcement Learning": ["RL"], "Neural Universal Discrete Denoiser": ["DL"], "Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks": ["DL"], "Bayesian Intermittent Demand Forecasting for Large Inventories": ["DL", "BY"], "Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles": ["DL"], "Improving PAC Exploration Using the Median Of Means": ["RL"], "Global Analysis of Expectation Maximization for Mixtures of Two Gaussians": ["DL"], "R-FCN: Object Detection via Region-based Fully Convolutional Networks": ["DL"], "Diffusion-Convolutional Neural Networks": ["DL"], "Estimating the Size of a Large Network and its Communities from a Random Sample": ["DL", "BY"], "Matching Networks for One Shot Learning": ["DL"], "Conditional Generative Moment-Matching Networks": ["DL"], "Composing graphical models with neural networks for structured representations and fast inference": ["DL"], "CNNpack: Packing Convolutional Neural Networks in the Frequency Domain": ["DL"], "Adaptive Neural Compilation": ["DL"], "Towards Unifying Hamiltonian Monte Carlo and Slice Sampling": ["DL", "BY"], "VIME: Variational Information Maximizing Exploration": ["DL", "RL"], "Learning to learn by gradient descent by gradient descent": ["DL"], "Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics": ["BY"], "A Pseudo-Bayesian Algorithm for Robust PCA": ["BY"], "Conditional Image Generation with PixelCNN Decoders": ["DL"], "Single-Image Depth Perception in the Wild": ["DL"], "Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula": ["DL"], "Kernel Observers: Systems-Theoretic Modeling and Inference of Spatiotemporally Evolving Processes": ["BY"], "Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections": ["DL"], "Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations": ["BY"], "Brains on Beats": ["DL"], "SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques": ["DL"], "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning": ["DL"], "A Minimax Approach to Supervised Learning": ["DL"], "DeepMath - Deep Sequence Models for Premise Selection": ["DL"], "Stochastic Gradient Geodesic MCMC Methods": ["BY"], "On Robustness of Kernel Clustering": ["DL"], "Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks": ["DL"], "Multivariate tests of association based on univariate tests": ["DL"], "Unsupervised Learning for Physical Interaction through Video Prediction": ["DL"], "Learning to Poke by Poking: Experiential Learning of Intuitive Physics": ["DL"], "Strategic Attentive Writer for Learning Macro-Actions": ["DL", "RL"], "An equivalence between high dimensional Bayes optimal inference and M-estimation": ["DL", "BY"], "Differential Privacy without Sensitivity": ["BY"], "Reshaped Wirtinger Flow for Solving Quadratic System of Equations": ["DL"], "Safe Exploration in Finite Markov Decision Processes with Gaussian Processes": ["RL", "BY"], "Computing and maximizing influence in linear threshold and triggering models": ["DL"], "Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition": ["DL"], "Learning to Communicate with Deep Multi-Agent Reinforcement Learning": ["DL", "RL"], "Local Similarity-Aware Deep Feature Embedding": ["DL"], "Threshold Learning for Optimal Decision Making": ["RL"], "Learning Multiagent Communication with Backpropagation": ["DL", "RL"], "Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow": ["DL"], "Relevant sparse codes with variational information bottleneck": ["RL"], "Flexible Models for Microclustering with Application to Entity Resolution": ["DL", "BY"], "Bayesian optimization for automated model selection": ["BY"], "Incremental Variational Sparse Gaussian Process Regression": ["BY"], "A Probabilistic Framework for Deep Learning": ["DL"], "Efficient state-space modularization for planning: theory, behavioral and neural signatures": ["RL"], "Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation": ["BY"], "Learning values across many orders of magnitude": ["DL", "RL"], "Efficient Nonparametric Smoothness Estimation": ["DL"], "Improving Variational Autoencoders with Inverse Autoregressive Flow": ["DL"], "Multimodal Residual Learning for Visual QA": ["DL"], "Learning a Metric Embedding  for Face Recognition using the Multibatch Method": ["DL"], "Direct Feedback Alignment Provides Learning in Deep Neural Networks": ["DL"], "Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision": ["DL"], "Probing the Compositionality of Intuitive Functions": ["BY"], "Guided Policy Search via Approximate Mirror Descent": ["DL", "RL"], "Improved Techniques for Training GANs": ["DL"], "An urn model for majority voting in classification ensembles": ["BY"], "A Communication-Efficient Parallel Algorithm for Decision Tree": ["DL"], "Understanding Probabilistic Sparse Gaussian Process Approximations": ["BY"], "Stochastic Variational Deep Kernel Learning": ["DL", "BY"], "Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much": ["DL"], "Average-case hardness of RIP certification": ["DL"], "Robustness of classifiers: from adversarial to random noise": ["DL"], "Estimating the class prior and posterior from noisy positives and unlabeled data": ["DL"], "Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA": ["DL"], "Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation": ["DL"], "Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods": ["BY"], "Generative Adversarial Imitation Learning": ["DL", "RL"], "Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks": ["DL"], "A Powerful Generative Model Using Random Weights for the Deep Image Representation": ["DL"], "High Dimensional Structured Superposition Models": ["DL"], "Integrated perception with recurrent multi-task neural networks": ["DL"], "Probabilistic Linear Multistep Methods": ["BY"], "Infinite Hidden Semi-Markov Modulated Interaction Point Process": ["BY"], "Kernel Bayesian Inference with Posterior Regularization": ["BY"], "End-to-End Kernel Learning with Supervised Convolutional Kernel Networks": ["DL"], "Deep Alternative Neural Network: Exploring Contexts as Early as Possible for Action Recognition": ["DL"], "Statistical Inference for Pairwise Graphical Models Using Score Matching": ["DL"], "Statistical Inference for Cluster Trees": ["DL"], "Long-term Causal Effects via Behavioral Game Theory": ["DL"], "Adaptive Skills Adaptive Partitions (ASAP)": ["RL"], "Batched Gaussian Process Bandit Optimization via Determinantal Point Processes": ["BY"], "Unsupervised Learning of 3D Structure from Images": ["DL"], "Learning Sensor Multiplexing Design through Back-propagation": ["DL"], "Coresets for Scalable Bayesian Logistic Regression": ["BY"], "Wasserstein Training of Restricted Boltzmann Machines": ["DL"], "Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices": ["DL"], "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering": ["DL"], "Learnable Visual Markers": ["DL"], "(Withdrawn)Only H is left: Near-tight Episodic PAC RL": ["RL"], "The Parallel Knowledge Gradient Method for Batch Bayesian Optimization": ["BY"], "Unifying Count-Based Exploration and Intrinsic Motivation": ["RL"], "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks": ["DL"], "Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods": ["DL"], "Maximal Sparsity with Deep Networks?": ["DL"], "Memory-Efficient Backpropagation Through Time": ["DL"], "Interaction Networks for Learning about Objects, Relations and Physics": ["DL"], "Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation": ["DL", "RL"], "Backprop KF: Learning Discriminative Deterministic State Estimators": ["DL"], "Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations": ["DL"], "Adaptive optimal training of animal behavior": ["RL"], "Local Minimax Complexity of Stochastic Convex Optimization": ["DL"], "Fast \u03b5-free Inference of Simulation Models with Bayesian Conditional Density Estimation": ["BY"], "Structured Matrix Recovery via the Generalized Dantzig Selector": ["DL"], "Learning Deep Embeddings with Histogram Loss": ["DL"], "Domain Separation Networks": ["DL"], "Scalable Adaptive Stochastic Optimization Using Random Projections": ["DL"], "Unsupervised Learning of Spoken Language with Visual Context": ["DL"], "Attend, Infer, Repeat: Fast Scene Understanding with Generative Models": ["DL"], "Residual Networks Behave Like Ensembles of Relatively Shallow Networks": ["DL"], "Accelerating Stochastic Composition Optimization": ["RL"], "SURGE: Surface Regularized Geometry Estimation from a Single Image": ["DL"], "Deep Neural Networks with Inexact Matching for Person Re-Identification": ["DL"], "Improved Dropout for Shallow and Deep Learning": ["DL"], "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks": ["DL"], "Professor Forcing: A New Algorithm for Training Recurrent Networks": ["DL"], "Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach": ["BY"], "PAC-Bayesian Theory Meets Bayesian Inference": ["BY"], "DISCO Nets : DISsimilarity COefficients Networks": ["DL"], "Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images": ["DL"], "Gaussian Processes for Survival Analysis": ["DL", "BY"], "On Multiplicative Integration with Recurrent Neural Networks": ["DL"], "Hierarchical Question-Image Co-Attention for Visual Question Answering": ["DL"], "Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes": ["DL"], "Dialog-based Language Learning": ["DL"], "A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification": ["DL", "BY"], "Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators": ["DL"], "Proximal Deep Structured Models": ["DL"], "Natural-Parameter Networks: A Class of Probabilistic Neural Networks": ["DL"], "Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo": ["BY"], "A Bayesian method for reducing bias in neural representational similarity analysis": ["BY"], "Bayesian Optimization for Probabilistic Programs": ["BY"], "Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation": ["DL"], "Tagger: Deep Unsupervised Perceptual Grouping": ["DL"], "The Generalized Reparameterization Gradient": ["BY"], "Deep Learning without Poor Local Minima": ["DL"]}, {"Shuangfei Zhai": "Binghamton University", "Se-Young Yun": "Los Alamos National Laboratory", "Rein Houthooft": "Ghent University - iMinds and UC Berkeley and OpenAI", "Greg Shakhnarovich": "TTI-Chicago", "Boqing Gong": "University of Central Florida", "Xuejun Liao": "Duke University", "Jia Deng": "University of Michigan", "Gr\u00e9goire Montavon": "TU Berlin", "Jeff Miller": "Duke University", "Liwei Wang": "Peking University", "Behnam Neyshabur": "TTI-Chicago", "Tinne Tuytelaars": "KU Leuven", "Alhussein Fawzi": "Ecole Polytechnique Federale de Lausanne (EPFL)", "Ji Hyun Bak": "Princeton University", "Roger Grosse": "University of Toronto", "Artsiom Sanakoyeu": "Heidelberg University", "Martha White": "University of Alberta", "Mladen Kolar": "University of Chicago", "Girish Chowdhary": "UIUC", "Florent Krzakala": "ENS Paris & Sorbonnes Universit\u00e9", "Ethan Fang": "Pennsylvania State University", "Tie-Yan Liu": "Microsoft Research", "Ozan Sener": "Cornell University", "Sainaa Sukhbaatar": "NYU", "Yizhou Wang": "Peking University", "Nal Kalchbrenner": "Google Brain", "Yee Whye Teh": "University of Oxford, DeepMind", "Tim Harley": "Google DeepMind", "Jitendra Malik": "UC Berkeley", "Ben Calderhead": "Imperial College", "Navdeep Jaitly": "Google Brain", "Andreas Krause": "ETHZ", "Yandan Wang": "University of Pittsburgh", "Roman Garnett": "Washington University in St. Louis", "Arindam Banerjee": "Voleon", "Ga\u00ebl RICHARD": "Telecom ParisTech", "Wei-Shou Hsu": "University of Waterloo", "Vince Calhoun": "Mind Research Network", "Chao Xu": "Peking University", "Pawan K Mudigonda": "University of Oxford", "Ardavan Saeedi": "MIT", "Michael Littman": "Brown University", "Jan-Willem van de Meent": "University of Oxford", "JunYoung Gwak": "Stanford University", "Yannis Assael": "University of Oxford", "Nicol\u00e1s Rivera": "King's College London", "Christoph Dann": "Carnegie Mellon University", "Hao Wang": "HKUST", "Tuomas Haarnoja": "UC Berkeley", "James Atwood": "UMass Amherst", "James Glass": "MIT CSAIL", "Volkan Cevher": "EPFL", "Tal Rosenwein": "Orcam", "David Wipf": "Microsoft Research", "Bernhard Sch\u00f6lkopf": "MPI for Intelligent Systems", "Antoine Gautier": "Saarland University", "Kyunghyun Cho": "University of Montreal", "Maithra Raghu": "Cornell University", "Mingbo Cai": "Princeton University", "Junbo (Jake) Zhao": "NYU", "Jason Pazis": "MIT", "Martin A Zinkevich": "Google", "Nicolas Heess": "Google DeepMind", "Kuang-chih Lee": "Yahoo Inc.", "Nando de Freitas": "University of Oxford", "Yu Cheng": "IBM Research", "David Harwath": "MIT CSAIL", "Greg Wayne": "Google DeepMind", "Yuhuai Wu": "University of Toronto", "Viren Jain": "Google", "koray kavukcuoglu": "Google DeepMind", "Zhao Fu": "University of Michigan", "Lin Yang": "University of Notre Dame", "Zeynep Akata": "Max Planck Institute for Informatics", "Rob Fergus": "New York University", "John Hershey": "MERL", "Joel Veness": "DeepMind", "Peter Li": "Google", "Shie Mannor": "Technion", "Yunhe Wang": "Peking University", "Jung-Woo Ha": "Naver Labs", "pirk Pirk": "Stanford University", "Emanuele Rodol\u00e0": "University of Lugano", "Sterling C Johnson": "University of Wisconsin Madison", "Taesup Moon": "DGIST", "Ji Xu": "Columbia university", "Les Atlas": "University of Washington", "David Blei": "Columbia University", "Seyed-Mohsen Moosavi-Dezfooli": "EPFL", "Alexandre Proutiere": "KTH", "Richard E Turner": "University of Cambridge", "Wei Wen": "University of Pittsburgh", "Weining Lu": "Tsinghua University", "Jonathan Kadmon": "Hebrew University", "Shenlong Wang": "University of Toronto", "Fiery Cushman": "Harvard University", "Hanna Wallach": "Microsoft Research", "John Duchi": "Stanford", "Thibault Lesieur": "IPHT Saclay", "Tom Rainforth": "University of Oxford", "Evgeniya Ustinova": "Skoltech", "Eli Gutin": "Massachusetts Institute of Tec", "Aaron Courville": "University of Montreal", "David Sussillo": "Google", "ZF Chen": "Google Brain", "Andrea Vedaldi": "University of Oxford and Facebook", "David Parkes": "Harvard University", "Dit-Yan Yeung": "HKUST, Hong Kong", "Josef Urban": "Czech Technical University in Prague", "Ryan Adams": "Google Brain and Princeton University", "Hao Su": "Stanford University", "Dmitry Krotov": "Institute for Advanced Study", "Farzan Farnia": "Stanford University", "Zhongfei (Mark) Zhang": "Binghamton University", "Ilya Sutskever": "Google", "Daniel McNamee": "University of Cambridge", "Marc Lanctot": "Google DeepMind", "Klaus-Robert M\u00fcller": "TU Berlin", "Moein Falahatgar": "UCSD", "Dmitry Vetrov": "Higher School of Economics, Samsung AI Center, Moscow", "Chen Huang": "Chinese University of HongKong", "Frederic Chazal": "INRIA", "Jason Hartford": "University of British Columbia", "Tarun Kathuria": "Microsoft Research", "Marco Cuturi": "Universit\u00e9 Paris-Saclay, CREST - ENSAE", "Garrett Thomas": "UC Berkeley", "Kentaro Minami": "The University of Tokyo", "Yonatan Wexler": "OrCam", "Yucen Luo": "Tsinghua University", "Dawei Yang": "University of Michigan", "Yang Song": "Stanford University", "Miguel A Bautista": "Heidelberg University", "Theophane Weber": "DeepMind", "Matthias Hein": "Saarland University", "Tianfan Xue": "MIT CSAIL", "Byunghan Lee": "Seoul National University", "Kenji Kawaguchi": "MIT", "Sang-Woo Lee": "Seoul National University", "Martin Paulus": "LIBR", "Xi Chen": "UC Berkeley and OpenAI", "Jakob Foerster": "University of Oxford", "Emma Brunskill": "Carnegie Mellon University", "Mohammad Ghavamzadeh": "FaceBook FAIR", "Nicolai Meinshausen": "ETH Zurich", "Daniel J Mankowitz": "Technion", "Cristina Savin": "IST Austria", "Tao Qin": "Microsoft", "Zhe Gan": "Duke", "Charles Blundell": "DeepMind", "Mauro Scanagatta": "Idsia", "Enze Zhou": "Tsinghua University", "Mark van der Wilk": "University of Cambridge", "Vicki Cheung": "OpenAI", "Charles Schaff": "Washington University in St. Louis", "Honglak Lee": "University of Michigan", "Alan Qi": "Ant financial service group", "Jonah G Cader": "Brown University", "Xiaojiao Mao": "Nanjing University", "Jun Zhu": "Tsinghua University", "Boris Ginsburg": "NVIDIA", "Benjamin Van Roy": "Stanford University", "Bill Freeman": "MIT/Google", "mcogswell Cogswell": "Virginia Tech", "Yangyan Li": "Stanford University", "Bertrand Michel": "UPMC", "Jeff M Phillips": "University of Utah", "Ran El-Yaniv": "Technion", "Scott E Reed": "University of Michigan", "Chris Junchi Li": "Princeton University", "Sergey Levine": "University of Washington", "Tolga Tasdizen": "University of Utah", "Bernt Schiele": "Max Planck Institute for Informatics", "Dhruv Batra": "Georgia Tech / Facebook AI Research (FAIR)", "Gustavo Malkomes": "Washington University", "Anna Harutyunyan": "Vrije Universiteit Brussel", "Jose Alvarez": "NICTA", "Rafal Jozefowicz": "OpenAI", "Suvrit Sra": "MIT", "Grace Wahba": "University of Wisconsin Madison", "Ming Yu": "The University of Chicago", "Benjamin M Marlin": "University of Massachusetts Amherst", "Wei Chen": "Microsoft Research", "Alex Wiltschko": "Harvard University and Twitter", "Charles R Qi": "Stanford University", "Ben Poole": "Stanford University", "Zoubin Ghahramani": "Uber and University of Cambridge", "Stefanie Jegelka": "MIT", "Xiangyu Wang": "Duke University", "Pieter Abbeel": "OpenAI / UC Berkeley / Gradescope", "Xiaolin Hu": "Tsinghua University", "Geoffrey Gordon": "MSR Montr\u00e9al & CMU", "Ali Eslami": "Google DeepMind", "Sivaraman Balakrishnan": "CMU", "Aaron van den Oord": "Google Deepmind", "Geoffrey Irving": "Google", "Guolin Ke": "Microsoft Research", "Alexey Dosovitskiy": "University of Freiburg", "Jingyu Shao": "UCLA", "Axel Pinz": "Graz University of Technology", "Alan L Yuille": "UCLA", "Zhilin Yang": "Carnegie Mellon University", "Yang Wang": "Data61", "Sandeep R Datta": "Harvard Medical School", "Constantine Caramanis": "UT Austin", "Yan Duan": "UC Berkeley", "Amin Karbasi": "Yale", "Joe L Austerweil": "University of Wisconsin-Madison", "Jinzhuo Wang": "PKU", "Weihao Gao": "UIUC", "Yurong Chen": "Intel Labs China", "Yu-Bin Yang": "NanjingUniversity", "Ching-An Cheng": "Georgia Institute of Technolog", "Sven2 Eberhardt": "Brown University", "Issei Sato": "The University of Tokyo", "Yasuyuki Matsushita": "Osaka University", "Jiajing Xu": "Pinterest", "Xu Jia": "KU Leuven", "Kevin Jing": "Pinterest", "Frank Hutter": "University of Freiburg", "Alex Alemi": "Google", "Qiwei Ye": "Microsoft Research", "Matthias Bauer": "University of Cambridge", "Devi Parikh": "Virginia Tech", "Alberto Su\u00e1rez": "Universidad Aut\u00f3noma de Madrid", "Min-Oh Heo": "Seoul National University", "Michael Figurnov": "Skolkovo Inst. of Sc and Tech", "Zhe Li": "The University of Iowa", "Jonathan Ho": "Stanford", "Francois Chollet": "Google, Inc", "Chengkai Zhang": "Massachusetts Institute of Technology", "Jin-Hwa Kim": "Seoul National University", "Ilija Bogunovic": "EPFL Lausanne", "Shreyas Saxena": "INRIA", "Quoc V Le": "Google", "Ilaria Giulini": "INRIA and Paris Diderot", "Pingfan Tang": "University of Utah", "Michal Januszewski": "Google", "Jakob Verbeek": "INRIA", "David Cox": "MIT-IBM Watson AI Lab, IBM Research", "Yong Ren": "Tsinghua University", "Yunchen Pu": "Duke University", "Yarin Gal": "University of Cambridge", "Alon Orlitsky": "University of California, San Diego", "hongsheng Li": "cuhk", "Ekaterina Tikhoncheva": "Heidelberg University", "Shashank Singh": "Carnegie Mellon University", "Theodore Bluche": "A2iA", "Quentin Berthet": "University of Cambridge", "Jan Peters": "TU Darmstadt & MPI Intelligent Systems", "Bowei Yan": "University of Texas at Austin", "Tengyao Wang": "University of Cambridge", "Kieran Milan": "Google DeepMind", "Santosh Mohan": "University of MIchigan", "Tom Schaul": "DeepMind", "Matthew Hoffman": "Google DeepMind", "Jason Yosinski": "Cornell", "Aaron Schein": "UMass Amherst", "Aditya Nori": "Microsoft Research", "Thomas Serre": "Brown University", "Jian Yang": "Facebook Inc.", "Saizheng Zhang": "University of Montreal", "Mohsen Bayati": "Stanford University", "Giorgio Corani": "Idsia", "Michael Mathieu": "NYU", "Alexander Riordan": "Princeton University", "Jonathan Le Roux": "Mitsubishi Electric Research Laboratories (MERL)", "Alan A Stocker": "University of Pennsylvania", "Alessandro Rinaldo": "Carnegie Mellon University", "Aapo Hyvarinen": "University of Helsinki", "Russ Salakhutdinov": "University of Toronto", "Aaron Klein": "University of Freiburg", "Ilya Tolstikhin": "MPI for Intelligent Systems", "Kostas Zygalakis": "University of Edinburgh", "Yijie Guo": "University of Michigan", "Klaus Greff": "IDSIA", "Shan You": "", "John Schulman": "OpenAI", "Lawrence Carin": "Duke University", "Razvan Pascanu": "Google DeepMind", "Bharath Sriperumbudur": "Penn State University", "Gerhard Neumann": "University of Lincoln", "Nathan F Lepora": "University of Bristol", "Mandar D Dixit": "UC San Diego", "Wittawat Jitkrittum": "Gatsby Unit", "Marcin Andrychowicz": "Google Deepmind", "Rudy Bunel": "Oxford University", "Chunyuan Li": "Duke", "Murat A Erdogdu": "Stanford University", "Patrick Lucey": "Stats", "Oriol Vinyals": "Google DeepMind", "Constantin A Rothkopf": "TU Darmstadt", "Surya Ganguli": "Stanford", "David Tse": "Stanford University", "Philip Torr": "Oxford University", "Anurag Mittal": "IIT Madras", "Eric Xing": "Carnegie Mellon University", "Lin Chen": "Yale University", "Mohamad Dia": "EPFL", "Timothy Lillicrap": "Google DeepMind", "Larry Wasserman": "Carnegie Mellon University", "Anirudh Goyal ALIAS PARTH GOYAL": "University of Montreal", "Gasper Tkacik": "Institute of Science and Technology Austria", "Zhao Song": "Duke University", "Panos Toulis": "University of Chicago", "Danny Z Chen": "University of Notre Dame", "Kacper P Chwialkowski": "Gatsby Unit", "Daniel Hsu": "Columbia University", "John J. Hopfield": "Princeton Neuroscience Institute", "Xinchen Yan": "University of Michigan", "Oren Tadmor": "OrCam", "Yael Niv": "Princeton University", "Robert Aguilar": "Princeton University", "Daniel Soudry": "Columbia University", "John Langford": "Microsoft Research New York", "Samuel J Gershman": "Harvard University", "Bryan He": "Stanford University", "Christoph Feichtenhofer": "Graz University of Technology", "James R Wright": "University of British Columbia", "Athena Akrami": "Princeton University", "Shandian Zhe": "Purdue University", "Nicolas Macris": "EPFL", "Xiaoou Tang": "The Chinese University of Hong Kong", "Jimei Yang": "Adobe Research", "Jonathan J Hunt": "Brain Corporation", "Ian Goodfellow": "OpenAI", "Georg Ostrovski": "Google DeepMind", "Andrew Wilson": "Carnegie Mellon University", "Zhiting Hu": "Carnegie Mellon University", "Steve Li": "UMass Amherst", "Konstantinos Bousmalis": "Google Brain", "Abbas Zaidi": "Duke University", "Valentin Flunkert": "Amazon", "Han Zhu": "Tsinghua University", "Martin J Wainwright": "UC Berkeley", "Junier B Oliva": "Carnegie Mellon University", "Marc Bellemare": "Google DeepMind", "J\u00fcrgen Schmidhuber": "Swiss AI Lab, IDSIA (USI & SUPSI) - NNAISENSE", "Ashutosh Saxena": "Brain of Things", "Tamara Fernandez": "Oxford", "Antti Rasmus": "The Curious AI Company", "Matthew Johnson": "MIT", "Scott Wisdom": "University of Washington", "Arthur Gretton": "Gatsby Unit, UCL", "Peter Frazier": "Princeton University", "Frederic Besse": "Google DeepMind", "Jascha Sohl-Dickstein": "Google Brain", "Yinlam Chow": "Stanford University", "Umut Simsekli": "T\u00e9l\u00e9com ParisTech", "Peng Lin": "Data61", "ANSHUMALI Shrivastava": "Rice University", "John Lafferty": "Yale University", "Jonathan Scarlett": "EPFL", "Sebastien Le Digabel": "\u00c9cole Polytechnique de Montr\u00e9al", "David Crandall": "Indiana University", "Tom Stepleton": "Google DeepMind", "Nati Srebro": "TTI-Chicago", "Michael Bronstein": "University of Lugano", "Jialian Li": "Tsinghua University", "Mingcheng Chen": "University of Illinois", "Ye Yuan": "Carnegie Mellon University", "Xiang Li": "NJUST", "Viresh Ranjan": "Virginia Tech", "Botond Cseke": "Microsoft Research", "matt zhang": "Nicta", "Timothy A Mann": "Google DeepMind", "Victor Soto": "Columbia University", "Ashvin Nair": "UC Berkeley", "Yannic Kilcher": "ETH Zurich", "Yingzhen Li": "University of Cambridge", "Hiroshi Nakagawa": "The University of Tokyo", "Wing Hung Wong": "Stanford university", "Donghyun Kwak": "Seoul National University", "Seungjin Choi": "POSTECH", "Anurag Ajay": "UC Berkeley", "Rom Herskovitz": "Technion - Israel Institute of Technology", "Amit Deshpande": "", "Luca Bertinetto": "University of Oxford", "Yingce Xia": "USTC", "S\u00f8ren Kaae S\u00f8nderby": "KU", "Samuel Tenka": "University of MIchigan", "Jiajun Wu": "MIT", "Aditya Ramesh": "NYU", "Anna Koop": "University of Alberta", "Marcel A. J. van Gerven": "Radboud University", "Matteo Hessel": "Google DeepMind", "Ole Winther": "Technical University of Denmark", "Dilip Krishnan": "Google", "Ricardo Henao": "Duke University", "Christopher R\u00e9": "Stanford University", "David Saxton": "Google DeepMind", "Yani Ioannou": "University of Cambridge", "Yizhe Zhang": "Duke university", "Volodymyr Mnih": "DeepMind", "YI WU": "UC Berkeley", "Jack Rae": "Google DeepMind", "Christopher B Choy": "Stanford University", "Richard Zemel": "Vector Institute/University of Toronto", "Renjie Liao": "UofT", "Sungroh Yoon": "Seoul National University", "Maarten Speekenbrink": "University College London", "Hyun Oh Song": "Google Research", "Felix Berkenkamp": "ETH Zurich", "Boris Belousov": "TU Darmstadt", "Vadim Lebedev": "Skolkovo Institute of Science and Technology", "Po-Ling Loh": "Berkeley", "Varun Gupta": "University of Chicago", "Remi Munos": "Google DeepMind", "Byoung-Tak Zhang": "Seoul National University", "Brenda Betancourt": "Duke University", "Ryan Tibshirani": "Carnegie Mellon University", "Cassio P de Campos": "Queen's University Belfast", "Michalis Titsias": "Athens University of Economics and Business", "Chang Liu": "Tsinghua University", "Sanja Fidler": "University of Toronto", "Vamsi Ithapu": "University of Wisconsin Madison", "Julien Mairal": "Inria", "Di He": "Microsoft", "Kaiming He": "Microsoft", "Simon Lacoste-Julien": "INRIA", "Jordy Thielen": "Radboud University", "Zenglin Xu": "University of Electronic Science & Technology of China", "Max Jaderberg": "DeepMind", "Michael Bowling": "DeepMind / University of Alberta", "Yuexin Wu": "Carnegie Mellon University", "Bjorn Ommer": "Heidelberg University", "Misha Denil": "DeepMind", "Eric Moulines": "Ecole Polytechnique", "Victor Lempitsky": "Samsung", "jean barbier": "EPFL", "Pedja Radivojac": "Indiana University", "Audrunas Gruslys": "Google DeepMind", "Veeru Sadhanala": "Carnegie Mellon University", "Katie Bouman": "MIT", "Jung Choi": "", "Xiao Chu": "Cuhk", "Siddharth Ancha": "University of Toronto", "Alexander Pritzel": "Google Deepmind", "Joe Austerweil": "University of Wisconsin-Madison", "Xinyang Yi": "UT Austin", "Trevor Campbell": "MIT", "Aviv Tamar": "UC Berkeley", "Durk Kingma": "Google", "Pengyuan Wang": "Yahoo! Research", "Christopher M De Sa": "Stanford University", "Stefan Wild": "Argonne National Lab", "Wenmin Wang": "peking university", "Gang Wang": "University of Minnesota", "Forrest W. Crawford": "Yale University", "Justin Khim": "University of Pennsylvania", "Jeonghee Kim": "Naver Labs", "Yiwen Guo": "Intel Labs China", "Vikas Singh": "UW Madison", "Ersin Yumer": "Adobe Research", "Daniel M Wolpert": "University of Cambridge", "Kenyon Tsai": "Harvard University", "Yuchen Zhang": "UC Berkeley", "Silvio Savarese": "Stanford University", "Jianmin Wang": "Tsinghua University", "Ying Zhang": "University of Montreal", "Jimmy Ba": "University of Toronto", "Elad Richardson": "Technion", "Oleg Grinchuk": "Skolkovo Institute of Science and Technology", "Luc V Gool": "ETH Z\u00fcrich", "Mathieu Salzmann": "EPFL", "Subhaneil Lahiri": "Stanford University", "Ting Guo": "Data61", "Stefano Ermon": "Stanford", "Jonathan Masci": "Universit\u00e0 della Svizzera italiana", "Baoyuan Wang": "Microsoft Research", "Crane Huang": "LIBR", "Michael Zibulevsky": "Technion - Israel Institute of Technology", "David Szepesvari": "Google DeepMind", "Davide Boscaini": "University of Lugano", "Brian McWilliams": "Disney Research", "Alex M Lamb": "Montreal", "Han Liu": "Tencent AI Lab", "Itay Hubara": "Technion", "Peng Wang": "UCLA", "Stefan Falkner": "University of Freiburg", "David Wolpert": "NASA Ames Research  Center", "Huibin Li": "Xi'an Jiaotong University", "Sathya Narayanan Ravi": "University of Wisconsin Madiso", "Ilana Witten": "", "Iain Murray": "University of Edinburgh", "Jianxu Chen": "University of Notre Dame", "Vivek Farias": "Massachusetts Institute of Technology", "Byron Boots": "Georgia Tech / Google Brain", "Lancelot F James": "HKUST", "Dawn Song": "UC Berkeley", "Richard Wildes": "York University Toronto", "Harshal R Maske": "UIUC", "Lasse Espeholt": "Google Brain Amsterdam", "Rodrigo Nogueira": "New York University", "Pascal Poupart": "University of Waterloo & RBC Borealis AI", "Xiaohui Shen": "Adobe Research", "Andrew Stevens": "Duke University", "Dimitrios Vytiniotis": "Microsoft Research", "Geoffrey E Hinton": "Google", "Chi Jin": "UC Berkeley", "Joel Leibo": "Google DeepMind", "Osbert Bastani": "Stanford University", "Mathias Berglund": "The Curious AI Company", "Yair Heller": "Independent", "Amnon Shashua": "OrCam", "xiongtao Chen": "peking university", "Samy Bengio": "Google Brain", "James Kirkpatrick": "Google DeepMind", "Tejas Kulkarni": "MIT", "Alex Schwing": "University of Illinois at Urbana-Champaign", "John Agapiou": "Google DeepMind", "Junhua Mao": "UCLA", "Mehdi Sajjadi": "University of Utah", "Yujia Li": "University of Toronto", "Frank Wood": "University of British Columbia", "Hotloo Hao": "The Curious AI Company", "Hassan A Kingravi": "Pindrop Security Services", "Micha\u00ebl Defferrard": "EPFL", "Shantanu Jain": "Indiana University", "Pulkit Agrawal": "UC Berkeley", "Olivier Marre": "Institut de la vision", "Ioannis Mitliagkas": "Stanford", "Ji Liu": "University of Rochester, Tencent AI lab", "Frank Noe": "FU Berlin", "Serge Belongie": "Cornell University", "Zhuoran Yang": "Princeton University", "Tamara Broderick": "MIT", "Max Welling": "University of Amsterdam / Qualcomm AI Research", "Lars Maal\u00f8e": "Technical University of Denmark", "George Trigeorgis": "Google", "Zolt\u00e1n Szab\u00f3": "\u00c9cole Polytechnique", "Karthik Narasimhan": "MIT", "Pierre Vandergheynst": "EPFL", "Maruan Al-Shedivat": "CMU", "Ruth Heller": "Tel-Aviv University", "Bo Xin": "Peking University", "Zongben Xu": "", "Chelsea Finn": "Google", "Antonio Criminisi": "Microsoft Research", "Dale Schuurmans": "University of Alberta & Google Brain", "Zhouhan Lin": "University of Montreal", "Christian Szegedy": "Google", "Harri Valpola": "The Curious AI Company", "Andreas Veit": "Cornell University", "Lee H Dicker": "Rutgers University and Amazon", "Yan Wang": "HUAZHONG UNIVERSITY OF SCIENCE", "Chen Change Loy": "The Chinese University of HK", "Akshay Krishnamurthy": "UMass Amherst", "Yann LeCun": "NYU", "Zhi-Ming Ma": "Academy of Mathematics and Systems Science", "Mingsheng Long": "Tsinghua University", "Raquel Urtasun": "University of Toronto", "Junbo Zhao": "NYU", "Peter Chen": "UC Berkeley and OpenAI", "Xin Yuan": "Bell Labs", "Stefan Lee": "Indiana University", "Taifeng Wang": "Microsoft Research", "Alex Graves": "Google DeepMind", "Pablo Sprechmann": "New York University", "Sriram Srinivasan": "Google", "Gautam Dasarathy": "Carnegie Mellon University", "Daan Wierstra": "Google DeepMind", "Rebecca Steorts": "Duke University", "William Cohen": "Carnegie Mellon University", "Yi Gu": "Princeton University", "Alain Durmus": "Telecom ParisTech", "Pascal Germain": "Laval University", "Ronggang Wang": "peking university", "Karen Willcox": "MIT", "Wojciech Zaremba": "OpenAI", "Yu-Xiang Wang": "Carnegie Mellon University", "Oncel Tuzel": "Mitsubishi Electric Research Labs (MERL)", "Yisong Yue": "Caltech", "David Duvenaud": "University of Toronto", "James MacGlashan": "Brown University", "Yuval Tassa": "Google DeepMind", "Michael A Osborne": "U Oxford", "Shakir Mohamed": "Google DeepMind", "Wei-Ying Ma": "Microsoft", "Jian Sun": "Microsoft", "Diane Bouchacourt": "University of Oxford", "Alban Desmaison": "Oxford", "Catalin Ionescu": "Google", "Hai Li": "University of Pittsburg", "Brian Price": "", "Mark Ho": "Brown University", "Sebastian Nowozin": "Microsoft Research", "Chunhua Shen": "", "Stephan Zheng": "Caltech", "David Tank": "Princeton University", "Mikkel N Schmidt": "DTU", "Zhaoran Wang": "Princeton University", "Hao Wu": "Free University of Berlin", "Daniel Neil": "Institute of Neuroinformatics", "Hiroshi Morioka": "University of Helsinki", "Jo\u00e3o F. Henriques": "University of Oxford", "Mate Lengyel": "University of Cambridge", "Shai Shalev-Shwartz": "OrCam", "Arthur Guez": "DeepMind", "Francis Bach": "INRIA - Ecole Normale Superieure", "Matthieu Courbariaux": "Universit\u00e9 de Montr\u00e9al", "Yen-Chi Chen": "Carnegie Mellon University", "Ayan Chakrabarti": "TTI Chicago", "Thomas Powers": "University of Washington", "Dumitru Erhan": "Google", "Ankit B Patel": "Baylor College of Medicine and Rice University", "Madhu Advani": "Stanford University", "Jost Tobias Springenberg": "University of Freiburg", "In Kweon": "KAIST", "Pascal Frossard": "EPFL", "Alexandre Lacoste": "Universite de Montreal", "Yingbin Liang": "Syracuse University", "Jeff Clune": "University of Wyoming", "Junyoung Chung": "University of Montreal", "Casper Kaae S\u00f8nderby": "University of Copenhagen", "Nuno Vasconcelos": "UC San Diego", "Tae-Hyun Oh": "KAIST", "Onur Teymur": "Imperial College London", "Leonidas J Guibas": "Stanford University", "Sergio G\u00f3mez": "Google DeepMind", "Yuancheng Zhu": "University of Chicago", "Marco Zaffalon": "IDSIA", "Eric Schulz": "University College London", "Michael Jordan": "UC Berkeley", "Jonathan How": "MIT", "Dan Roy": "Univ of Toronto & Vector", "Tim Salimans": "Algoritmica", "Alexander Vezhnevets": "Google DeepMind", "Gabriel Krummenacher": "ETH Zurich", "Nathan Silberman": "Google", "Mike Schuster": "Google", "Thomas Brox": "University of Freiburg", "Jack Valmadre": "University of Oxford", "Kevin Leyton-Brown": "University of British Columbia", "Weifeng Chen": "University of Michigan", "Purnamrita Sarkar": "U.C. Berkeley", "Nebojsa Jojic": "Microsoft Research", "Leonidas Lampropoulos": "University of Pennsylvania", "Arild N\u00f8kland": "None", "Lenka Zdeborov\u00e1": "CEA Saclay", "Scott Cohen": "Adobe Research", "Mesrob Ohannessian": "Toyota Technological Institute at Chicago", "Tuan Anh Le": "University of Oxford", "Diana Cai": "University of Chicago", "Jian Wu": "Cornell University", "Andrew Senior": "DeepMind", "Dacheng Tao": "Nanyang Technological University", "Xiaogang Wang": "Chinese University of Hong Kong", "Marcel van Gerven": "Radboud University", "Demis Hassabis": "DeepMind", "Changyou Chen": "University at Buffalo", "Jeff Schneider": "CMU", "Ron Parr": "Duke University", "Tong Che": "IHES", "Matthew Chalk": "IST Austria", "Tianbao Yang": "University of Iowa", "Tue Herlau": "Technical University of Denmark", "Richard Baraniuk": "Rice University", "Francisco Ruiz": "Columbia University", "Han Zhao": "Carnegie Mellon University", "Chunpeng Wu": "University of Pittsburgh", "Moitreya Chatterjee": "IIT Madras", "Kai Zhang": "NEC Labs America", "Don Towsley": "UMass Amherst", "Dangna Li": "Stanford university", "David Silver": "DeepMind", "Shengjia Zhao": "Tsinghua University", "Xingjian SHI": "Hong Kong University of Science and Technology", "Manmohan Chandraker": "NEC Labs America", "Ryota Tomioka": "MSRC", "\u0141ukasz Kaiser": "Google Brain", "David Pfau": "Google DeepMind", "Matthew Lai": "Google DeepMind", "Saurabh Singh": "UIUC", "Kirthevasan Kandasamy": "CMU", "Marek Petrik": "University of New Hampshire", "Yoshua Bengio": "U. Montreal", "Nicolas W Schuck": "Princeton Neuroscience Institute", "Hakan Bilen": "University of Oxford", "Nenghai Yu": "USTC", "Carl Edward Rasmussen": "University of Cambridge", "Aizhan Ibraimova": "Skolkovo Institute of Science and Technology", "Michael Hanke": "Otto-von-Guericke University Magdeburg", "Senthil Purushwalkam Shiva Prakash": "Carnegie Mellon", "Karol Gregor": "Google DeepMind", "Derek Hoiem": "UIUC", "Sheng Chen": "University of Minnesota", "Chang Xu": "Peking University", "Kun Yang": "Google Inc", "Ashish Sabharwal": "Allen Institute for AI", "jifeng dai": "Microsoft", "David Salinas": "Amazon", "Morten M\u00f8rup": "Technical University of Denmark", "David Forsyth": "UIUC", "Yi Li": "Tsinghua University", "Niklas Een": "Google Inc.", "arthur szlam": "Facebook", "Chengtao Li": "MIT", "Andrew M Saxe": "Stanford University", "Qilong Gu": "University of Minnesota", "Pushmeet Kohli": "Microsoft Research", "Ricardo Silva": "University College London", "Richard Shin": "UC Berkeley", "Xinyun Chen": "Shanghai Jiaotong University", "Ming-Yu Liu": "MERL", "Simon Du": "Carnegie Mellon University", "Josh Tenenbaum": "MIT", "Varun Jog": "University of Wisconsin - Madison", "devon Hjelm": "University of New Mexico", "Michael Pfeiffer": "Institute of Neuroinformatics", "Gonzalo Martinez-Mu\u00f1oz": "Universidad Aut\u00f3noma de Madrid", "yan yang": "Xi'an Jiaotong University", "Mathias Niepert": "NEC Labs Europe", "Jianwei Yang": "Virginia Tech", "Yonghui Wu": "Google", "William H Montgomery": "University of Washington", "Juho Lee": "POSTECH", "Jiasen Lu": "Virginia Tech", "George Papamakarios": "University of Edinburgh", "Yaniv Plan": "University of British Columbia", "Wen Gao": "peking university", "Minh Nguyen": "Rice University", "Xavier Bresson": "EPFL", "Yiran Chen": "University of Pittsburgh", "Arulkumar Subramaniam": "IIT Madras", "Jisu KIM": "Carnegie Mellon University", "Mingyuan Zhou": "University of Texas at Austin", "Anbang Yao": "Intel Labs China", "Simon Osindero": "Google DeepMind", "Sewoong Oh": "UIUC", "Mehran Javanmardi": "University of Utah", "Hiromi Arai": "The University of Tokyo", "Michael J Wilber": "Cornell Tech", "Mohammad Norouzi": "Google Brain", "Mengdi Wang": "Princeton University", "Victor Picheny": "Institut National de la Recherche Agronomique", "Joachim M Buhmann": "ETH Zurich", "Jan Homann": "Princeton University", "H. Sebastian Seung": "Princeton University", "Bryan Russell": "Adobe", "Bert De Brabandere": "KU Leuven", "Shimon Whiteson": "University of Oxford", "Quynh N Nguyen": "Saarland University", "Rong Zhu": "Chinese Academy of Sciences", "Matthias W Seeger": "Amazon", "Filip De Turck": "Ghent University - iMinds", "Pramod Viswanath": "UIUC", "Seonwoo Min": "Seoul National University", "Jason E Weston": "Facebook AI Research", "Umut G\u00fc\u00e7l\u00fc": "Radboud University", "Peter Battaglia": "Google DeepMind", "Shih-Chii Liu": "Institute for Neuroinformatics, University of Zurich and ETH Zurich", "Hado van Hasselt": "DeepMind", "Arian Maleki": "Columbia University", "dreamqi Meng": "Peking University", "Georgios Giannakis": "University of Minnesota", "sabyasachi chatterjee": "University of Chicago", "Jonathan Huggins": "MIT", "Remi Lam": "MIT", "Wenjie Luo": "University of Toronto", "Jonathan W Pillow": "Princeton University", "Barnabas Poczos": "Carnegie Mellon University", "John Hopcroft": "Cornell University", "Antonio Torralba": "MIT CSAIL", "Anh Nguyen": "University of Wyoming", "Robert B Gramacy": "Virginia Tech", "Tapani Raiko": "Apple Inc.", "Philip Bachman": "Microsoft Research", "Hao Zhou": "University of Wisconsin Madiso", "Alekh Agarwal": "Microsoft", "Mark Alber": "University of Notre Dame", "Marco Fraccaro": "DTU", "Danilo Jimenez Rezende": "Google DeepMind", "Matteo Turchetta": "ETH Zurich", "Alec Radford": "OpenAI", "Kihyuk Sohn": "NEC Laboratories America", "Fang Chen": "Data61", "Ian Osband": "DeepMind", "Haim Sompolinsky": "Hebrew University and Harvard University", "Roland Memisevic": "University of Montreal", "Kun He": "Huazhong University of Science and Technology", "Pedro Ortega": "DeepMind", "Noah Apthorpe": "Princeton University", "Wanli Ouyang": "The Chinese University of Hong Kong", "Kai Fan": "Duke university", "Jeremy Maitin-Shepard": "Google", "Huishuai Zhang": "Syracuse University", "Giacomo Zanella": "The University of Warick", "Roland Badeau": "Telecom ParisTech", "Ivo Danihelka": "DeepMind", "Ulrich Paquet": "DeepMind"}]