icml2016.md

ICML2016

• Nihar Shah, Dengyong Zhou. "No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing" | [Home Page] | [PDF]

• Nihar Shah, Sivaraman Balakrishnan, Aditya Guntuboyina, Martin Wainwright. "Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues" | [Home Page] | [PDF]

• Adrian Weller. "Uprooting and Rerooting Graphical Models" | [Home Page] | [PDF]

• Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph Chang, Yuval Kluger. "A Deep Learning Approach to Unsupervised Ensemble Learning" | [Home Page] | [PDF]

• Zhilin Yang, William Cohen, Ruslan Salakhudinov. "Revisiting Semi-Supervised Learning with Graph Embeddings" | [Home Page] | [PDF]

• Chelsea Finn, Sergey Levine, Pieter Abbeel. "Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization" | [Home Page] | [PDF]

• Pengtao Xie, Jun Zhu, Eric Xing. "Diversity-Promoting Bayesian Learning of Latent Variable Models" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Yaoliang Yu. "Additive Approximations in High Dimensional Nonparametric Regression via the SALSA" | [Home Page] | [PDF]

• Young Lee, Kar Wai Lim, Cheng Soon Ong. "Hawkes Processes with Stochastic Excitations" | [Home Page] | [PDF]

• Ashish Khetan, Sewoong Oh. "Data-driven Rank Breaking for Efficient Rank Aggregation" | [Home Page] | [PDF]

• Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder. "Dropout distillation" | [Home Page] | [PDF]

• Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath. "Metadata-conscious anonymous messaging" | [Home Page] | [PDF]

• Ji Liu, Xiaojin Zhu, Hrag Ohannessian. "The Teaching Dimension of Linear Learners" | [Home Page] | [PDF]

• Ioannis Caragiannis, Ariel Procaccia, Nisarg Shah. "Truthful Univariate Estimators" | [Home Page] | [PDF]

• Devansh Arpit, Yingbo Zhou, Hung Ngo, Venu Govindaraju. "Why Regularized Auto-Encoders learn Sparse Representation?" | [Home Page] | [PDF]

• Richard Nock, Raphael Canyasse, Roksana Boreli, Frank Nielsen. "k-variates++: more pluses in the k-means++" | [Home Page] | [PDF]

• Jonathan Rosenski, Ohad Shamir, Liran Szlak. "Multi-Player Bandits – a Musical Chairs Approach" | [Home Page] | [PDF]

• Greg Ver Steeg, Aram Galstyan. "The Information Sieve" | [Home Page] | [PDF]

• Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu. "Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin" | [Home Page] | [PDF]

• Yue Zhang, Weihong Guo, Soumya Ray. "On the Consistency of Feature Selection With Lasso for Non-linear Targets" | [Home Page] | [PDF]

• Jan Hendrik Metzen. "Minimum Regret Search for Single- and Multi-Task Optimization" | [Home Page] | [PDF]

• Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, John Wernsing. "CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy" | [Home Page] | [PDF]

• Max Vladymyrov, Miguel Carreira-Perpinan. "The Variational Nystrom method for large-scale spectral problems" | [Home Page] | [PDF]

• Hongyang Li, Wanli Ouyang, Xiaogang Wang. "Multi-Bias Non-linear Activation in Deep Neural Networks" | [Home Page] | [PDF]

• Giwoong Lee, Eunho Yang, Sung Hwang. "Asymmetric Multi-task Learning Based on Task Relatedness and Loss" | [Home Page] | [PDF]

• Lixin Fan. "Accurate Robust and Efficient Error Estimation for Decision Trees" | [Home Page] | [PDF]

• Ohad Shamir. "Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity" | [Home Page] | [PDF]

• Ohad Shamir. "Convergence of Stochastic Gradient Descent for PCA" | [Home Page] | [PDF]

• Andrew Lan, Tom Goldstein, Richard Baraniuk, Christoph Studer. "Dealbreaker: A Nonlinear Latent Variable Model for Educational Data" | [Home Page] | [PDF]

• Qiang Liu, Jason Lee, Michael Jordan. "A Kernelized Stein Discrepancy for Goodness-of-fit Tests" | [Home Page] | [PDF]

• Yexiang Xue, Stefano Ermon, Ronan Le Bras,  Carla, Bart Selman. "Variable Elimination in the Fourier Domain" | [Home Page] | [PDF]

• Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen Chu. "Low-Rank Matrix Approximation with Stability" | [Home Page] | [PDF]

• Aditya Menon, Cheng Soon Ong. "Linking losses for density ratio and class-probability estimation" | [Home Page] | [PDF]

• Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex Smola. "Stochastic Variance Reduction for Nonconvex Optimization" | [Home Page] | [PDF]

• Rajesh Ranganath, Dustin Tran, David Blei. "Hierarchical Variational Models" | [Home Page] | [PDF]

• Roy Adams, Nazir Saleheen, Edison Thomaz, Abhinav Parate, Santosh Kumar, Benjamin Marlin. "Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams" | [Home Page] | [PDF]

• Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski, Tony Jebara, Sanjiv Kumar, Yann LeCun. "Binary embeddings with structured hashed projections" | [Home Page] | [PDF]

• Stephan Mandt, Matthew Hoffman, David Blei. "A Variational Analysis of Stochastic Gradient Algorithms" | [Home Page] | [PDF]

• Siddharth Gopal. "Adaptive Sampling for SGD by Exploiting Side Information" | [Home Page] | [PDF]

• Rose Yu, Yan Liu. "Learning from Multiway Data: Simple and Efficient Tensor Regression" | [Home Page] | [PDF]

• Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low. "A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models" | [Home Page] | [PDF]

• Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-hua Zhou. "Online Stochastic Linear Optimization under One-bit Feedback" | [Home Page] | [PDF]

• Rodolphe Jenatton, Jim Huang, Cedric Archambeau. "Adaptive Algorithms for Online Convex Optimization with Long-term Constraints" | [Home Page] | [PDF]

• Adish Singla, Sebastian Tschiatschek, Andreas Krause. "Actively Learning Hemimetrics with Applications to Eliciting User Preferences" | [Home Page] | [PDF]

• Wojciech Zaremba, Tomas Mikolov, Armand Joulin, Rob Fergus. "Learning Simple Algorithms from Examples" | [Home Page] | [PDF]

• Adam Lerer, Sam Gross, Rob Fergus. "Learning Physical Intuition of Block Towers by Example" | [Home Page] | [PDF]

• Song Liu, Taiji Suzuki, Masashi Sugiyama, Kenji Fukumizu. "Structure Learning of Partitioned Markov Networks" | [Home Page] | [PDF]

• Tianbao Yang, Lijun Zhang, Rong Jin, Jinfeng Yi. "Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient" | [Home Page] | [PDF]

• Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien. "Beyond CCA: Moment Matching for Multi-View Models" | [Home Page] | [PDF]

• Shashanka Ubaru, Yousef Saad. "Fast methods for estimating the Numerical rank of large matrices" | [Home Page] | [PDF]

• Junyuan Xie, Ross Girshick, Ali Farhadi. "Unsupervised Deep Embedding for Clustering Analysis" | [Home Page] | [PDF]

• Shiva Prasad Kasiviswanathan, Hongxia Jin. "Efficient Private Empirical Risk Minimization for High-dimensional Learning" | [Home Page] | [PDF]

• Milan Vojnovic, Seyoung Yun. "Parameter Estimation for Generalized Thurstone Choice Models" | [Home Page] | [PDF]

• Weiyang Liu, Yandong Wen, Zhiding Yu, Meng Yang. "Large-Margin Softmax Loss for Convolutional Neural Networks" | [Home Page] | [PDF]

• Romain Couillet, Gilles Wainrib, Hafiz Tiomoko Ali, Harry Sevi. "A Random Matrix Approach to Echo-State Neural Networks" | [Home Page] | [PDF]

• Rie Johnson, Tong Zhang. "Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings" | [Home Page] | [PDF]

• Jungseul Ok, Sewoong Oh, Jinwoo Shin, Yung Yi. "Optimality of Belief Propagation for Crowdsourced Classification" | [Home Page] | [PDF]

• Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters. "Stability of Controllers for Gaussian Process Forward Models" | [Home Page] | [PDF]

• Jihun Hamm, Yingjun Cao, Mikhail Belkin. "Learning privately from multiparty data" | [Home Page] | [PDF]

• Tao Wei, Changhu Wang, Yong Rui, Chang Wen Chen. "Network Morphism" | [Home Page] | [PDF]

• Roger Grosse, James Martens. "A Kronecker-factored approximate Fisher matrix for convolution layers" | [Home Page] | [PDF]

• Sathya Narayanan Ravi, Vamsi Ithapu, Sterling Johnson, Vikas Singh. "Experimental Design on a Budget for Sparse Linear Models and Applications" | [Home Page] | [PDF]

• Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz, Puneet Dokania, Simon Lacoste-Julien. "Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs" | [Home Page] | [PDF]

• Chao Gao, Yu Lu, Dengyong Zhou. "Exact Exponent in Optimal Rates for Crowdsourcing" | [Home Page] | [PDF]

• Yuting Zhang, Kibok Lee, Honglak Lee. "Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification" | [Home Page] | [PDF]

• Jie Shen, Ping Li, Huan Xu. "Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit" | [Home Page] | [PDF]

• Frank Curtis. "A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization" | [Home Page] | [PDF]

• Umut Simsekli, Roland Badeau, Taylan Cemgil, Gaël Richard. "Stochastic Quasi-Newton Langevin Monte Carlo" | [Home Page] | [PDF]

• Nan Jiang, Lihong Li. "Doubly Robust Off-policy Value Evaluation for Reinforcement Learning" | [Home Page] | [PDF]

• Chao Qu, Huan Xu, Chong Ong. "Fast Rate Analysis of Some Stochastic Optimization Algorithms" | [Home Page] | [PDF]

• Ke Li, Jitendra Malik. "Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing" | [Home Page] | [PDF]

• Hoang Le, Andrew Kang, Yisong Yue, Peter Carr. "Smooth Imitation Learning for Online Sequence Prediction" | [Home Page] | [PDF]

• Yuxin Chen, Govinda Kamath, Changho Suh, David Tse. "Community Recovery in Graphs with Locality" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Elad Hazan. "Variance Reduction for Faster Non-Convex Optimization" | [Home Page] | [PDF]

• Giorgio Patrini, Frank Nielsen, Richard Nock, Marcello Carioni. "Loss factorization, weakly supervised learning and label noise robustness" | [Home Page] | [PDF]

• Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff Bilmes, Matthai Plilipose, Matthew Richardson, Krzysztof Geras, Gregor Urban, Ozlem Aslan. "Analysis of Deep Neural Networks with Extended Data Jacobian Matrix" | [Home Page] | [PDF]

• Masaaki Imaizumi, Kohei Hayashi. "Doubly Decomposing Nonparametric Tensor Regression" | [Home Page] | [PDF]

• Fabian Pedregosa. "Hyperparameter optimization with approximate gradient" | [Home Page] | [PDF]

• Shai Shalev-Shwartz. "SDCA without Duality, Regularization, and Individual Convexity" | [Home Page] | [PDF]

• Oren Anava, Shie Mannor. "Heteroscedastic Sequences: Beyond Gaussianity" | [Home Page] | [PDF]

• Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou. "A Neural Autoregressive Approach to Collaborative Filtering" | [Home Page] | [PDF]

• Itay Safran, Ohad Shamir. "On the Quality of the Initial Basin in Overspecified Neural Networks" | [Home Page] | [PDF]

• Celestine Dünner, Simone Forte, Martin Takac, Martin Jaggi. "Primal-Dual Rates and Certificates" | [Home Page] | [PDF]

• Shai Shalev-Shwartz, Yonatan Wexler. "Minimizing the Maximal Loss: How and Why" | [Home Page] | [PDF]

• Daniel Pimentel-Alarcon, Robert Nowak. "The Information-Theoretic Requirements of Subspace Clustering with Missing Data" | [Home Page] | [PDF]

• Alon Cohen, Tamir Hazan, Tomer Koren. "Online Learning with Feedback Graphs Without the Graphs" | [Home Page] | [PDF]

• Hadrien Glaude, Olivier Pietquin. "PAC learning of Probabilistic Automaton based on the Method of Moments" | [Home Page] | [PDF]

• Igor Melnyk, Arindam Banerjee. "Estimating Structured Vector Autoregressive Models" | [Home Page] | [PDF]

• Christopher Tosh. "Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends" | [Home Page] | [PDF]

• Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda. "Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms" | [Home Page] | [PDF]

• Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant. "A New PAC-Bayesian Perspective on Domain Adaptation" | [Home Page] | [PDF]

• Gregory Puleo, Olgica Milenkovic. "Correlation Clustering and Biclustering with Locally Bounded Errors" | [Home Page] | [PDF]

• Yahel David, Nahum Shimkin. "PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem" | [Home Page] | [PDF]

• Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal. "A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation" | [Home Page] | [PDF]

• Shane Carr, Roman Garnett, Cynthia Lo. "BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces" | [Home Page] | [PDF]

• Yossi Arjevani, Ohad Shamir. "On the Iteration Complexity of Oblivious First-Order Optimization Algorithms" | [Home Page] | [PDF]

• Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis Haupt. "Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning" | [Home Page] | [PDF]

• David Wipf. "Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation" | [Home Page] | [PDF]

• James Newling, Francois Fleuret. "Fast k-means with accurate bounds" | [Home Page] | [PDF]

• Siamak Ravanbakhsh, Barnabas Poczos, Russell Greiner. "Boolean Matrix Factorization and Noisy Completion via Message Passing" | [Home Page] | [PDF]

• Nadav Cohen, Amnon Shashua. "Convolutional Rectifier Networks as Generalized Tensor Decompositions" | [Home Page] | [PDF]

• Stephen Tu, Ross Boczar, Max Simchowitz, Mahdi Soltanolkotabi, Ben Recht. "Low-rank Solutions of Linear Matrix Equations via Procrustes Flow" | [Home Page] | [PDF]

• Kwang-Sung Jun, Robert Nowak. "Anytime Exploration for Multi-armed Bandits using Confidence Information" | [Home Page] | [PDF]

• David Belanger, Andrew McCallum. "Structured Prediction Energy Networks" | [Home Page] | [PDF]

• Yuchen Zhang, Jason D. Lee, Michael I. Jordan. "L1-regularized Neural Networks are Improperly Learnable in Polynomial Time" | [Home Page] | [PDF]

• Nicolas Tremblay, Gilles Puy, Remi Gribonval, Pierre Vandergheynst. "Compressive Spectral Clustering" | [Home Page] | [PDF]

• Hiroyuki Kasai, Bamdev Mishra. "Low-rank tensor completion: a Riemannian manifold preconditioning approach" | [Home Page] | [PDF]

• Huishuai Zhang, Yuejie Chi, Yingbin Liang. "Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow" | [Home Page] | [PDF]

• Carlo D’Eramo, Marcello Restelli, Alessandro Nuara. "Estimating Maximum Expected Value through Gaussian Approximation" | [Home Page] | [PDF]

• Urvashi Oswal, Christopher Cox, Matthew Lambon-Ralph, Timothy Rogers, Robert Nowak. "Representational Similarity Learning with Application to Brain Networks" | [Home Page] | [PDF]

• Yarin Gal, Zoubin Ghahramani. "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning" | [Home Page] | [PDF]

• Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee. "Generative Adversarial Text to Image Synthesis" | [Home Page] | [PDF]

• Sandhya Prabhakaran, Elham Azizi, Ambrose Carr, Dana Pe’er. "Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Yang Yuan. "Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives" | [Home Page] | [PDF]

• Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo. "Sparse Parameter Recovery from Aggregated Data" | [Home Page] | [PDF]

• Shuangfei Zhai, Yu Cheng, Weining Lu, Zhongfei Zhang. "Deep Structured Energy Based Models for Anomaly Detection" | [Home Page] | [PDF]

• Zeyuan Allen-Zhu, Zheng Qu, Peter Richtarik, Yang Yuan. "Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling" | [Home Page] | [PDF]

• Martin Arjovsky, Amar Shah, Yoshua Bengio. "Unitary Evolution Recurrent Neural Networks" | [Home Page] | [PDF]

• Aonan Zhang, John Paisley. "Markov Latent Feature Models" | [Home Page] | [PDF]

• Yingfei Wang, Chu Wang, Warren Powell. "The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks" | [Home Page] | [PDF]

• Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell Poldrack. "A Simple and Provable Algorithm for Sparse Diagonal CCA" | [Home Page] | [PDF]

• Huikang Liu, Weijie Wu, Anthony Man-Cho So. "Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods" | [Home Page] | [PDF]

• Devansh Arpit, Yingbo Zhou, Bhargava Kota, Venu Govindaraju. "Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks" | [Home Page] | [PDF]

• Chongxuan Li, Jun Zhu, Bo Zhang. "Learning to Generate with Memory" | [Home Page] | [PDF]

• Basura Fernando, Stephen Gould. "Learning End-to-end Video Classification with Rank-Pooling" | [Home Page] | [PDF]

• Wen Sun, Arun Venkatraman, Byron Boots, J.Andrew Bagnell. "Learning to Filter with Predictive State Inference Machines" | [Home Page] | [PDF]

• Mostafa Rahmani, Geroge Atia. "A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling" | [Home Page] | [PDF]

• Sumeet Katariya, Branislav Kveton, Csaba Szepesvari, Zheng Wen. "DCM Bandits: Learning to Rank with Multiple Clicks" | [Home Page] | [PDF]

• Moritz Hardt, Ben Recht, Yoram Singer. "Train faster, generalize better: Stability of stochastic gradient descent" | [Home Page] | [PDF]

• Junpei Komiyama, Junya Honda, Hiroshi Nakagawa. "Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm" | [Home Page] | [PDF]

• Shuai Li, Baoxiang Wang, Shengyu Zhang, Wei Chen. "Contextual Combinatorial Cascading Bandits" | [Home Page] | [PDF]

• Yifan Wu, Roshan Shariff, Tor Lattimore, Csaba Szepesvari. "Conservative Bandits" | [Home Page] | [PDF]

• Elad Hazan, Haipeng Luo. "Variance-Reduced and Projection-Free Stochastic Optimization" | [Home Page] | [PDF]

• Jiaming Song, Zhe Gan, Lawrence Carin. "Factored Temporal Sigmoid Belief Networks for Sequence Learning" | [Home Page] | [PDF]

• QianQian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao. "False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking" | [Home Page] | [PDF]

• David Balduzzi, Muhammad Ghifary. "Strongly-Typed Recurrent Neural Networks" | [Home Page] | [PDF]

• Nathan Korda, Balazs Szorenyi, Shuai Li. "Distributed Clustering of Linear Bandits in Peer to Peer Networks" | [Home Page] | [PDF]

• Han Zhao, Tameem Adel, Geoff Gordon, Brandon Amos. "Collapsed Variational Inference for Sum-Product Networks" | [Home Page] | [PDF]

• Piyush Khandelwal, Elad Liebman, Scott Niekum, Peter Stone. "On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search" | [Home Page] | [PDF]

• Yan Duan, Xi Chen, Rein Houthooft, John Schulman, Pieter Abbeel. "Benchmarking Deep Reinforcement Learning for Continuous Control" | [Home Page] | [PDF]

• Hu Ding, Yu Liu, Lingxiao Huang, Jian Li. "K-Means Clustering with Distributed Dimensions" | [Home Page] | [PDF]

• Dmitry Ulyanov, Vadim Lebedev,  Andrea, Victor Lempitsky. "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" | [Home Page] | [PDF]

• Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi. "Fast Constrained Submodular Maximization: Personalized Data Summarization" | [Home Page] | [PDF]

• Zhaoran Wang, Quanquan Gu, Han Liu. "On the Statistical Limits of Convex Relaxations" | [Home Page] | [PDF]

• Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher. "Ask Me Anything: Dynamic Memory Networks for Natural Language Processing" | [Home Page] | [PDF]

• Igor Colin, Aurelien Bellet, Joseph Salmon, Stéphan Clémençon. "Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions" | [Home Page] | [PDF]

• Alon Gonen, Francesco Orabona, Shai Shalev-Shwartz. "Solving Ridge Regression using Sketched Preconditioned SVRG" | [Home Page] | [PDF]

• Prashanth L.A., Cheng Jie, Michael Fu, Steve Marcus, Csaba Szepesvari. "Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control" | [Home Page] | [PDF]

• Emmanouil Antonios Platanios, Avinava Dubey, Tom Mitchell. "Estimating Accuracy from Unlabeled Data: A Bayesian Approach" | [Home Page] | [PDF]

• Chiranjib Bhattacharya, Navin Goyal, Ravindran Kannan, Jagdeep Pani. "Non-negative Matrix Factorization under Heavy Noise" | [Home Page] | [PDF]

• Kalina Jasinska, Krzysztof Dembczynski, Robert Busa-Fekete, Karlson Pfannschmidt, Timo Klerx, Eyke Hullermeier. "Extreme F-measure Maximization using Sparse Probability Estimates" | [Home Page] | [PDF]

• Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther. "Auxiliary Deep Generative Models" | [Home Page] | [PDF]

• Olivier Canevet, Cijo Jose, Francois Fleuret. "Importance Sampling Tree for Large-scale Empirical Expectation" | [Home Page] | [PDF]

• Hadi Daneshmand, Aurelien Lucchi, Thomas Hofmann. "Starting Small - Learning with Adaptive Sample Sizes" | [Home Page] | [PDF]

• Thang Bui, Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Yingzhen Li, Richard Turner. "Deep Gaussian Processes for Regression using Approximate Expectation Propagation" | [Home Page] | [PDF]

• Jovana Mitrovic, Dino Sejdinovic, Yee-Whye Teh. "DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression" | [Home Page] | [PDF]

• Daniel Hernandez-Lobato, Jose Hernandez-Lobato, Amar Shah, Ryan Adams. "Predictive Entropy Search for Multi-objective Bayesian Optimization" | [Home Page] | [PDF]

• Rong Ge, James Zou. "Rich Component Analysis" | [Home Page] | [PDF]

• Jose Hernandez-Lobato, Yingzhen Li, Mark Rowland, Thang Bui, Daniel Hernandez-Lobato, Richard Turner. "Black-Box Alpha Divergence Minimization" | [Home Page] | [PDF]

• Danilo Rezende,  Shakir, Ivo Danihelka, Karol Gregor, Daan Wierstra. "One-Shot Generalization in Deep Generative Models" | [Home Page] | [PDF]

• Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit Dhillon. "Optimal Classification with Multivariate Losses" | [Home Page] | [PDF]

• Cedric Malherbe, Emile Contal, Nicolas Vayatis. "A ranking approach to global optimization" | [Home Page] | [PDF]

• Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric Xing. "Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms" | [Home Page] | [PDF]

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