nips2016.md

NeurIPS2016

• Chien-Ju Ho, Rafael Frongillo, Yiling Chen. "Eliciting Categorical Data for Optimal Aggregation" | [Home Page] | [PDF]

• Georgios Arvanitidis, Lars K. Hansen, Søren Hauberg. "A Locally Adaptive Normal Distribution" | [Home Page] | [PDF]

• Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, Jürgen Schmidhuber. "Tagger: Deep Unsupervised Perceptual Grouping" | [Home Page] | [PDF]

• Wei-Shou Hsu, Pascal Poupart. "Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics" | [Home Page] | [PDF]

• Yong Ren, Jun Zhu, Jialian Li, Yucen Luo. "Conditional Generative Moment-Matching Networks" | [Home Page] | [PDF]

• Hao Wang, Xingjian SHI, Dit-Yan Yeung. "Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks" | [Home Page] | [PDF]

• Matthias W. Seeger, David Salinas, Valentin Flunkert. "Bayesian Intermittent Demand Forecasting for Large Inventories" | [Home Page] | [PDF]

• Tianfan Xue, Jiajun Wu, Katherine Bouman, Bill Freeman. "Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks" | [Home Page] | [PDF]

• Ashish Khetan, Sewoong Oh. "Achieving budget-optimality with adaptive schemes in crowdsourcing" | [Home Page] | [PDF]

• Alain Durmus, Umut Simsekli, Eric Moulines, Roland Badeau, Gaël RICHARD. "Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo" | [Home Page] | [PDF]

• Carl Vondrick, Hamed Pirsiavash, Antonio Torralba. "Generating Videos with Scene Dynamics" | [Home Page] | [PDF]

• Andrej Risteski, Yuanzhi Li. "Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods" | [Home Page] | [PDF]

• Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst. "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering" | [Home Page] | [PDF]

• Baharan Mirzasoleiman, Morteza Zadimoghaddam, Amin Karbasi. "Fast Distributed Submodular Cover: Public-Private Data Summarization" | [Home Page] | [PDF]

• Maja Rudolph, Francisco Ruiz, Stephan Mandt, David Blei. "Exponential Family Embeddings" | [Home Page] | [PDF]

• William Hoiles, Mihaela van der Schaar. "A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics" | [Home Page] | [PDF]

• Hakan Bilen, Andrea Vedaldi. "Integrated perception with recurrent multi-task neural networks" | [Home Page] | [PDF]

• Jason E. Weston. "Dialog-based Language Learning" | [Home Page] | [PDF]

• Yarin Gal, Zoubin Ghahramani. "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" | [Home Page] | [PDF]

• Noah Apthorpe, Alexander Riordan, Robert Aguilar, Jan Homann, Yi Gu, David Tank, H. Sebastian Seung. "Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks" | [Home Page] | [PDF]

• Shreyas Saxena, Jakob Verbeek. "Convolutional Neural Fabrics" | [Home Page] | [PDF]

• Kaito Fujii, Hisashi Kashima. "Budgeted stream-based active learning via adaptive submodular maximization" | [Home Page] | [PDF]

• Madhu Advani, Surya Ganguli. "An equivalence between high dimensional Bayes optimal inference and M-estimation" | [Home Page] | [PDF]

• Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi. "A Sparse Interactive Model for Matrix Completion with Side Information" | [Home Page] | [PDF]

• Hossein Esfandiari, Nitish Korula, Vahab Mirrokni. "Bi-Objective Online Matching and Submodular Allocations" | [Home Page] | [PDF]

• Wittawat Jitkrittum, Zoltán Szabó, Kacper P. Chwialkowski, Arthur Gretton. "Interpretable Distribution Features with Maximum Testing Power" | [Home Page] | [PDF]

• Laetitia Papaxanthos, Felipe Llinares-López, Dean Bodenham, Karsten Borgwardt. "Finding significant combinations of features in the presence of categorical covariates" | [Home Page] | [PDF]

• Ming Lin, Jieping Ye. "A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing" | [Home Page] | [PDF]

• Jacob Steinhardt, Gregory Valiant, Moses Charikar. "Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction" | [Home Page] | [PDF]

• Jacob D. Abernethy, Kareem Amin, Ruihao Zhu. "Threshold Bandits, With and Without Censored Feedback" | [Home Page] | [PDF]

• Aditya Grover, Stefano Ermon. "Variational Bayes on Monte Carlo Steroids" | [Home Page] | [PDF]

• Juho Lee, Lancelot F. James, Seungjin Choi. "Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models" | [Home Page] | [PDF]

• Bo Xin, Yizhou Wang, Wen Gao, David Wipf, Baoyuan Wang. "Maximal Sparsity with Deep Networks?" | [Home Page] | [PDF]

• Weifeng Chen, Zhao Fu, Dawei Yang, Jia Deng. "Single-Image Depth Perception in the Wild" | [Home Page] | [PDF]

• Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi, Alexandros G. Dimakis. "Single Pass PCA of Matrix Products" | [Home Page] | [PDF]

• Malik Magdon-Ismail, Christos Boutsidis. "Optimal Sparse Linear Encoders and Sparse PCA" | [Home Page] | [PDF]

• Roger B. Grosse, Siddharth Ancha, Daniel M. Roy. "Measuring the reliability of MCMC inference with bidirectional Monte Carlo" | [Home Page] | [PDF]

• Xiaojiao Mao, Chunhua Shen, Yu-Bin Yang. "Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections" | [Home Page] | [PDF]

• Nils M. Kriege, Pierre-Louis Giscard, Richard Wilson. "On Valid Optimal Assignment Kernels and Applications to Graph Classification" | [Home Page] | [PDF]

• Tomoharu Iwata, Makoto Yamada. "Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models" | [Home Page] | [PDF]

• Jonathan Kadmon, Haim Sompolinsky. "Optimal Architectures in a Solvable Model of Deep Networks" | [Home Page] | [PDF]

• Daniel McNamee, Daniel M. Wolpert, Mate Lengyel. "Efficient state-space modularization for planning: theory, behavioral and neural signatures" | [Home Page] | [PDF]

• Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Tie-Yan Liu. "A Communication-Efficient Parallel Algorithm for Decision Tree" | [Home Page] | [PDF]

• Gao Huang, Chuan Guo, Matt J. Kusner, Yu Sun, Fei Sha, Kilian Q. Weinberger. "Supervised Word Mover's Distance" | [Home Page] | [PDF]

• Marius Pachitariu, Nicholas A. Steinmetz, Shabnam N. Kadir, Matteo Carandini, Kenneth D. Harris. "Fast and accurate spike sorting of high-channel count probes with KiloSort" | [Home Page] | [PDF]

• Elvis DOHMATOB, Arthur Mensch, Gael Varoquaux, Bertrand Thirion. "Learning brain regions via large-scale online structured sparse dictionary learning" | [Home Page] | [PDF]

• Jason Pazis, Ronald E. Parr, Jonathan P. How. "Improving PAC Exploration Using the Median Of Means" | [Home Page] | [PDF]

• Aryeh Kontorovich, Sivan Sabato, Ruth Urner. "Active Nearest-Neighbor Learning in Metric Spaces" | [Home Page] | [PDF]

• Yu-Xiong Wang, Martial Hebert. "Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs" | [Home Page] | [PDF]

• Eunice Yuh-Jie Chen, Yujia Shen, Arthur Choi, Adnan Darwiche. "Learning Bayesian networks with ancestral constraints" | [Home Page] | [PDF]

• Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli. "Exponential expressivity in deep neural networks through transient chaos" | [Home Page] | [PDF]

• Tim van Erven, Wouter M. Koolen. "MetaGrad: Multiple Learning Rates in Online Learning" | [Home Page] | [PDF]

• He Huang, Martin Paulus. "Learning under uncertainty: a comparison between R-W and Bayesian approach" | [Home Page] | [PDF]

• Rodrigo Nogueira, Kyunghyun Cho. "End-to-End Goal-Driven Web Navigation" | [Home Page] | [PDF]

• Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata. "Higher-Order Factorization Machines" | [Home Page] | [PDF]

• Haipeng Luo, Alekh Agarwal, Nicolò Cesa-Bianchi, John Langford. "Efficient Second Order Online Learning by Sketching" | [Home Page] | [PDF]

• Alex M. Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang, Saizheng Zhang, Aaron C. Courville, Yoshua Bengio. "Professor Forcing: A New Algorithm for Training Recurrent Networks" | [Home Page] | [PDF]

• yan yang, Jian Sun, Huibin Li, Zongben Xu. "Deep ADMM-Net for Compressive Sensing MRI" | [Home Page] | [PDF]

• Walid Krichene, Alexandre Bayen, Peter L. Bartlett. "Adaptive Averaging in Accelerated Descent Dynamics" | [Home Page] | [PDF]

• Yoshinobu Kawahara. "Dynamic Mode Decomposition with Reproducing Kernels for Koopman Spectral Analysis" | [Home Page] | [PDF]

• Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Ryan J. Tibshirani. "Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers" | [Home Page] | [PDF]

• Satyen Kale, Chansoo Lee, David Pal. "Hardness of Online Sleeping Combinatorial Optimization Problems" | [Home Page] | [PDF]

• Dangna Li, Kun Yang, Wing Hung Wong. "Density Estimation via Discrepancy Based Adaptive Sequential Partition" | [Home Page] | [PDF]

• Ping Li, Michael Mitzenmacher, Martin Slawski. "Quantized Random Projections and Non-Linear Estimation of Cosine Similarity" | [Home Page] | [PDF]

• Andrej Risteski, Yuanzhi Li. "Algorithms and matching lower bounds for approximately-convex optimization" | [Home Page] | [PDF]

• Jian Wu, Peter Frazier. "The Parallel Knowledge Gradient Method for Batch Bayesian Optimization" | [Home Page] | [PDF]

• Diana Cai, Trevor Campbell, Tamara Broderick. "Edge-exchangeable graphs and sparsity" | [Home Page] | [PDF]

• Balamurugan Palaniappan, Francis Bach. "Stochastic Variance Reduction Methods for Saddle-Point Problems" | [Home Page] | [PDF]

• Koosha Khalvati, Seongmin A. Park, Jean-Claude Dreher, Rajesh PN Rao. "A Probabilistic Model of Social Decision Making based on Reward Maximization" | [Home Page] | [PDF]

• JUN HAN, Qiang Liu. "Bootstrap Model Aggregation for Distributed Statistical Learning" | [Home Page] | [PDF]

• Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess. "Unsupervised Learning of 3D Structure from Images" | [Home Page] | [PDF]

• Valentina Zantedeschi, Rémi Emonet, Marc Sebban. "beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data" | [Home Page] | [PDF]

• Lev Bogolubsky, Pavel Dvurechenskii, Alexander Gasnikov, Gleb Gusev, Yurii Nesterov, Andrei M. Raigorodskii, Aleksey Tikhonov, Maksim Zhukovskii. "Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods" | [Home Page] | [PDF]

• Antoine Gautier, Quynh N. Nguyen, Matthias Hein. "Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Elad Hazan. "Optimal Black-Box Reductions Between Optimization Objectives" | [Home Page] | [PDF]

• Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther. "Sequential Neural Models with Stochastic Layers" | [Home Page] | [PDF]

• Devon Hjelm, Russ R. Salakhutdinov, Kyunghyun Cho, Nebojsa Jojic, Vince Calhoun, Junyoung Chung. "Iterative Refinement of the Approximate Posterior for Directed Belief Networks" | [Home Page] | [PDF]

• Stefan Lee, Senthil Purushwalkam Shiva Prakash, Michael Cogswell, Viresh Ranjan, David Crandall, Dhruv Batra. "Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles" | [Home Page] | [PDF]

• Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Michael Bronstein. "Learning shape correspondence with anisotropic convolutional neural networks" | [Home Page] | [PDF]

• Vikas Garg, Tommi Jaakkola. "Learning Tree Structured Potential Games" | [Home Page] | [PDF]

• Edward Choi, Mohammad Taha Bahadori, Jimeng Sun, Joshua Kulas, Andy Schuetz, Walter Stewart. "RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism" | [Home Page] | [PDF]

• Akshay Krishnamurthy, Alekh Agarwal, John Langford. "PAC Reinforcement Learning with Rich Observations" | [Home Page] | [PDF]

• Xinghua Lou, Ken Kansky, Wolfgang Lehrach, CC Laan, Bhaskara Marthi, D. Phoenix, Dileep George. "Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data" | [Home Page] | [PDF]

• Onur Teymur, Kostas Zygalakis, Ben Calderhead. "Probabilistic Linear Multistep Methods" | [Home Page] | [PDF]

• Ashish Khetan, Sewoong Oh. "Computational and Statistical Tradeoffs in Learning to Rank" | [Home Page] | [PDF]

• Chendi Huang, Xinwei Sun, Jiechao Xiong, Yuan Yao. "Split LBI: An Iterative Regularization Path with Structural Sparsity" | [Home Page] | [PDF]

• Ching-An Cheng, Byron Boots. "Incremental Variational Sparse Gaussian Process Regression" | [Home Page] | [PDF]

• Zhao Song, David Woodruff, Huan Zhang. "Sublinear Time Orthogonal Tensor Decomposition" | [Home Page] | [PDF]

• Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard. "Mapping Estimation for Discrete Optimal Transport" | [Home Page] | [PDF]

• Dino Oglic, Thomas Gärtner. "Greedy Feature Construction" | [Home Page] | [PDF]

• Yiwen Guo, Anbang Yao, Yurong Chen. "Dynamic Network Surgery for Efficient DNNs" | [Home Page] | [PDF]

• Yali Wan, Marina Meila. "Graph Clustering: Block-models and model free results" | [Home Page] | [PDF]

• Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel. "CMA-ES with Optimal Covariance Update and Storage Complexity" | [Home Page] | [PDF]

• José L. Torrecilla, Alberto Suárez. "Feature selection in functional data classification with recursive maxima hunting" | [Home Page] | [PDF]

• Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré. "Cyclades: Conflict-free Asynchronous Machine Learning" | [Home Page] | [PDF]

• Sashank J. Reddi, Suvrit Sra, Barnabas Poczos, Alexander J. Smola. "Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization" | [Home Page] | [PDF]

• Hao Wu, Frank Noe. "Spectral Learning of Dynamic Systems from Nonequilibrium Data" | [Home Page] | [PDF]

• Yossi Arjevani, Ohad Shamir. "Dimension-Free Iteration Complexity of Finite Sum Optimization Problems" | [Home Page] | [PDF]

• Seyed Hamidreza Kasaei, Ana Maria Tomé, Luís Seabra Lopes. "Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition" | [Home Page] | [PDF]

• Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Jerry Zhu. "Active Learning with Oracle Epiphany" | [Home Page] | [PDF]

• Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis Bach. "Stochastic Optimization for Large-scale Optimal Transport" | [Home Page] | [PDF]

• Damek Davis, Brent Edmunds, Madeleine Udell. "The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM" | [Home Page] | [PDF]

• Jonathan Huggins, Trevor Campbell, Tamara Broderick. "Coresets for Scalable Bayesian Logistic Regression" | [Home Page] | [PDF]

• Edouard Pauwels, Jean B. Lasserre. "Sorting out typicality with the inverse moment matrix SOS polynomial" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Gautam Dasarathy, Barnabas Poczos, Jeff Schneider. "The Multi-fidelity Multi-armed Bandit" | [Home Page] | [PDF]

• Theodore Bluche. "Joint Line Segmentation and Transcription for End-to-End Handwritten Paragraph Recognition" | [Home Page] | [PDF]

• Oren Anava, Kfir Levy. "k-Nearest Neighbors: From Global to Local"* | [Home Page] | [PDF]

• Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers. "Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images" | [Home Page] | [PDF]

• Oleg Grinchuk, Vadim Lebedev, Victor Lempitsky. "Learnable Visual Markers" | [Home Page] | [PDF]

• Shashank Singh, Barnabas Poczos. "Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators" | [Home Page] | [PDF]

• Christopher Lynn, Daniel D. Lee. "Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution" | [Home Page] | [PDF]

• Nagarajan Natarajan, Prateek Jain. "Regret Bounds for Non-decomposable Metrics with Missing Labels" | [Home Page] | [PDF]

• Shengjia Zhao, Enze Zhou, Ashish Sabharwal, Stefano Ermon. "Adaptive Concentration Inequalities for Sequential Decision Problems" | [Home Page] | [PDF]

• Sébastien Gerchinovitz, Tor Lattimore. "Refined Lower Bounds for Adversarial Bandits" | [Home Page] | [PDF]

• Dmitry Ostrovsky, Zaid Harchaoui, Anatoli Juditsky, Arkadi S. Nemirovski. "Structure-Blind Signal Recovery" | [Home Page] | [PDF]

• Mohammad Norouzi, Samy Bengio, zhifeng Chen, Navdeep Jaitly, Mike Schuster, Yonghui Wu, Dale Schuurmans. "Reward Augmented Maximum Likelihood for Neural Structured Prediction" | [Home Page] | [PDF]

• Mehdi Sajjadi, Mehran Javanmardi, Tolga Tasdizen. "Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning" | [Home Page] | [PDF]

• Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, David Sussillo, Samy Bengio. "An Online Sequence-to-Sequence Model Using Partial Conditioning" | [Home Page] | [PDF]

• Peter Battaglia, Razvan Pascanu, Matthew Lai, Danilo Jimenez Rezende, koray kavukcuoglu. "Interaction Networks for Learning about Objects, Relations and Physics" | [Home Page] | [PDF]

• Victor Picheny, Robert B. Gramacy, Stefan Wild, Sebastien Le Digabel. "Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian" | [Home Page] | [PDF]

• Jeremy B. Maitin-Shepard, Viren Jain, Michal Januszewski, Peter Li, Pieter Abbeel. "Combinatorial Energy Learning for Image Segmentation" | [Home Page] | [PDF]

• Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent, Michael A. Osborne, Frank Wood. "Bayesian Optimization for Probabilistic Programs" | [Home Page] | [PDF]

• Francesco Orabona, David Pal. "Coin Betting and Parameter-Free Online Learning" | [Home Page] | [PDF]

• Evgeniya Ustinova, Victor Lempitsky. "Learning Deep Embeddings with Histogram Loss" | [Home Page] | [PDF]

• Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic, Marwa El Halabi, Ya-Ping Hsieh, Volkan Cevher. "An Efficient Streaming Algorithm for the Submodular Cover Problem" | [Home Page] | [PDF]

• Farshad Lahouti, Babak Hassibi. "Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing" | [Home Page] | [PDF]

• Moontae Lee, Seok Hyun Jin, David Mimno. "Beyond Exchangeability: The Chinese Voting Process" | [Home Page] | [PDF]

• Pan Zhang. "Robust Spectral Detection of Global Structures in the Data by Learning a Regularization" | [Home Page] | [PDF]

• Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya. "Optimal spectral transportation with application to music transcription" | [Home Page] | [PDF]

• Gregory Rogez, Cordelia Schmid. "MoCap-guided Data Augmentation for 3D Pose Estimation in the Wild" | [Home Page] | [PDF]

• Dennis Wei. "A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++" | [Home Page] | [PDF]

• Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu. "CNNpack: Packing Convolutional Neural Networks in the Frequency Domain" | [Home Page] | [PDF]

• Jiyan Yang, Michael W. Mahoney, Michael Saunders, Yuekai Sun. "Feature-distributed sparse regression: a screen-and-clean approach" | [Home Page] | [PDF]

• Alexey Dosovitskiy, Thomas Brox. "Generating Images with Perceptual Similarity Metrics based on Deep Networks" | [Home Page] | [PDF]

• Andreas Veit, Michael J. Wilber, Serge Belongie. "Residual Networks Behave Like Ensembles of Relatively Shallow Networks" | [Home Page] | [PDF]

• Guillaume Rabusseau, Hachem Kadri. "Low-Rank Regression with Tensor Responses" | [Home Page] | [PDF]

• Chi Jin, Sham M. Kakade, Praneeth Netrapalli. "Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent" | [Home Page] | [PDF]

• Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael I. Jordan. "Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences" | [Home Page] | [PDF]

• James Atwood, Don Towsley. "Diffusion-Convolutional Neural Networks" | [Home Page] | [PDF]

• Tue Herlau, Mikkel N. Schmidt, Morten Mørup. "Completely random measures for modelling block-structured sparse networks" | [Home Page] | [PDF]

• Feng Nan, Joseph Wang, Venkatesh Saligrama. "Pruning Random Forests for Prediction on a Budget" | [Home Page] | [PDF]

• Sung-Soo Ahn, Michael Chertkov, Jinwoo Shin. "Synthesis of MCMC and Belief Propagation" | [Home Page] | [PDF]

• Travis Monk, Cristina Savin, Jörg Lücke. "Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics" | [Home Page] | [PDF]

• Peter Schulam, Raman Arora. "Disease Trajectory Maps" | [Home Page] | [PDF]

• Gustavo Malkomes, Charles Schaff, Roman Garnett. "Bayesian optimization for automated model selection" | [Home Page] | [PDF]

• Reza Eghbali, Maryam Fazel. "Designing smoothing functions for improved worst-case competitive ratio in online optimization" | [Home Page] | [PDF]

• Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin. "Towards Unifying Hamiltonian Monte Carlo and Slice Sampling" | [Home Page] | [PDF]

• Maia Fraser. "Multi-step learning and underlying structure in statistical models" | [Home Page] | [PDF]

• Nicolas Boumal, Vlad Voroninski, Afonso Bandeira. "The non-convex Burer-Monteiro approach works on smooth semidefinite programs" | [Home Page] | [PDF]

• Maximilian Balandat, Walid Krichene, Claire Tomlin, Alexandre Bayen. "Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games" | [Home Page] | [PDF]

• Christoph Feichtenhofer, Axel Pinz, Richard Wildes. "Spatiotemporal Residual Networks for Video Action Recognition" | [Home Page] | [PDF]

• Jack Rae, Jonathan J. Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Timothy Lillicrap. "Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes" | [Home Page] | [PDF]

• Daniel Ritchie, Anna Thomas, Pat Hanrahan, Noah Goodman. "Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks" | [Home Page] | [PDF]

• Andrey Lokhov. "Reconstructing Parameters of Spreading Models from Partial Observations" | [Home Page] | [PDF]

• Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu. "Tracking the Best Expert in Non-stationary Stochastic Environments" | [Home Page] | [PDF]

• Ming Yu, Mladen Kolar, Varun Gupta. "Statistical Inference for Pairwise Graphical Models Using Score Matching" | [Home Page] | [PDF]

• Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li. "Learning Structured Sparsity in Deep Neural Networks" | [Home Page] | [PDF]

• Weiran Wang, Jialei Wang, Dan Garber, Dan Garber, Nati Srebro. "Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis" | [Home Page] | [PDF]

• Sven Eberhardt, Jonah G. Cader, Thomas Serre. "How Deep is the Feature Analysis underlying Rapid Visual Categorization?" | [Home Page] | [PDF]

• Subhashini Krishnasamy, Rajat Sen, Ramesh Johari, Sanjay Shakkottai. "Regret of Queueing Bandits" | [Home Page] | [PDF]

• Trung Le, Tu Nguyen, Vu Nguyen, Dinh Phung. "Dual Space Gradient Descent for Online Learning" | [Home Page] | [PDF]

• Yang You, Xiangru Lian, Ji Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, James Demmel, Cho-Jui Hsieh. "Asynchronous Parallel Greedy Coordinate Descent" | [Home Page] | [PDF]

• Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan R. Peters. "Catching heuristics are optimal control policies" | [Home Page] | [PDF]

• Michal Feldman, Tomer Koren, Roi Livni, Yishay Mansour, Aviv Zohar. "Online Pricing with Strategic and Patient Buyers" | [Home Page] | [PDF]

• Jiajun Wu, Chengkai Zhang, Tianfan Xue, Bill Freeman, Josh Tenenbaum. "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling" | [Home Page] | [PDF]

• Eli Gutin, Vivek Farias. "Optimistic Gittins Indices" | [Home Page] | [PDF]

• Hongseok Namkoong, John C. Duchi. "Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences" | [Home Page] | [PDF]

• Weihao Gao, Sewoong Oh, Pramod Viswanath. "Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation" | [Home Page] | [PDF]

• Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan. "Domain Separation Networks" | [Home Page] | [PDF]

• Feras Saad, Vikash K. Mansinghka. "A Probabilistic Programming Approach To Probabilistic Data Analysis" | [Home Page] | [PDF]

• Antoine Desir, Vineet Goyal, Srikanth Jagabathula, Danny Segev. "Assortment Optimization Under the Mallows model" | [Home Page] | [PDF]

• Xinan Wang, Sanjoy Dasgupta. "An algorithm for L1 nearest neighbor search via monotonic embedding" | [Home Page] | [PDF]

• Zohar S. Karnin, Oren Anava. "Multi-armed Bandits: Competing with Optimal Sequences" | [Home Page] | [PDF]

• Davood Hajinezhad, Mingyi Hong, Tuo Zhao, Zhaoran Wang. "NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization" | [Home Page] | [PDF]

• Eric Schulz, Josh Tenenbaum, David K. Duvenaud, Maarten Speekenbrink, Samuel J. Gershman. "Probing the Compositionality of Intuitive Functions" | [Home Page] | [PDF]

• Bryant Chen. "Identification and Overidentification of Linear Structural Equation Models" | [Home Page] | [PDF]

• Philip Bachman. "An Architecture for Deep, Hierarchical Generative Models" | [Home Page] | [PDF]

• Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra. "Towards Conceptual Compression" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yang Yuan, Karthik Sridharan. "Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters" | [Home Page] | [PDF]

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