icml2015.md

ICML2015

• Peilin Zhao, Tong Zhang. "Stochastic Optimization with Importance Sampling for Regularized Loss Minimization" | [Home Page] | [PDF]

• Nihar Shah, Dengyong Zhou, Yuval Peres. "Approval Voting and Incentives in Crowdsourcing" | [Home Page] | [PDF]

• Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew Blaschko. "A low variance consistent test of relative dependency" | [Home Page] | [PDF]

• Lu Bai, Luca Rossi, Zhihong Zhang, Edwin Hancock. "An Aligned Subtree Kernel for Weighted Graphs" | [Home Page] | [PDF]

• Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens. "Spectral Clustering via the Power Method - Provably" | [Home Page] | [PDF]

• Ke Sun, Jun Wang, Alexandros Kalousis, Stephan Marchand-Maillet. "Information Geometry and Minimum Description Length Networks" | [Home Page] | [PDF]

• Jean-Baptiste Tristan, Joseph Tassarotti, Guy Steele. "Efficient Training of LDA on a GPU by Mean-for-Mode Estimation" | [Home Page] | [PDF]

• Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li. "Adaptive Stochastic Alternating Direction Method of Multipliers" | [Home Page] | [PDF]

• Alekh Agarwal, Leon Bottou. "A Lower Bound for the Optimization of Finite Sums" | [Home Page] | [PDF]

• Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah Smith. "Learning Word Representations with Hierarchical Sparse Coding" | [Home Page] | [PDF]

• Mingsheng Long, Yue Cao, Jianmin Wang, Michael Jordan. "Learning Transferable Features with Deep Adaptation Networks" | [Home Page] | [PDF]

• Takayuki Osogami. "Robust partially observable Markov decision process" | [Home Page] | [PDF]

• Han Zhao, Mazen Melibari, Pascal Poupart. "On the Relationship between Sum-Product Networks and Bayesian Networks" | [Home Page] | [PDF]

• Aditya Menon, Brendan Van Rooyen, Cheng Soon Ong, Bob Williamson. "Learning from Corrupted Binary Labels via Class-Probability Estimation" | [Home Page] | [PDF]

• Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu. "An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection" | [Home Page] | [PDF]

• Ohad Shamir. "A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate" | [Home Page] | [PDF]

• Doron Kukliansky, Ohad Shamir. "Attribute Efficient Linear Regression with Distribution-Dependent Sampling" | [Home Page] | [PDF]

• Ethan Fetaya, Shimon Ullman. "Learning Local Invariant Mahalanobis Distances" | [Home Page] | [PDF]

• Zhuang Ma, Yichao Lu, Dean Foster. "Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis" | [Home Page] | [PDF]

• Nan Jiang, Alex Kulesza, Satinder Singh. "Abstraction Selection in Model-based Reinforcement Learning" | [Home Page] | [PDF]

• Purushottam Kar, Harikrishna Narasimhan, Prateek Jain. "Surrogate Functions for Maximizing Precision at the Top" | [Home Page] | [PDF]

• Harikrishna Narasimhan, Purushottam Kar, Prateek Jain. "Optimizing Non-decomposable Performance Measures: A Tale of Two Classes" | [Home Page] | [PDF]

• Olivier Bachem, Mario Lucic, Andreas Krause. "Coresets for Nonparametric Estimation - the Case of DP-Means" | [Home Page] | [PDF]

• Pratik Gajane, Tanguy Urvoy, Fabrice Clérot. "A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits" | [Home Page] | [PDF]

• Mohammad Taha Bahadori, David Kale, Yingying Fan, Yan Liu. "Functional Subspace Clustering with Application to Time Series" | [Home Page] | [PDF]

• Rose Yu, Dehua Cheng, Yan Liu. "Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams" | [Home Page] | [PDF]

• Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté. "Atomic Spatial Processes" | [Home Page] | [PDF]

• Elad Hazan, Roi Livni, Yishay Mansour. "Classification with Low Rank and Missing Data" | [Home Page] | [PDF]

• Oran Richman, Shie Mannor. "Dynamic Sensing: Better Classification under Acquisition Constraints" | [Home Page] | [PDF]

• Pinghua Gong, Jieping Ye. "A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis" | [Home Page] | [PDF]

• Naji Shajarisales, Dominik Janzing, Bernhard Schoelkopf, Michel Besserve. "Telling cause from effect in deterministic linear dynamical systems" | [Home Page] | [PDF]

• Kirthevasan Kandasamy, Jeff Schneider, Barnabas Poczos. "High Dimensional Bayesian Optimisation and Bandits via Additive Models" | [Home Page] | [PDF]

• Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu. "Theory of Dual-sparse Regularized Randomized Reduction" | [Home Page] | [PDF]

• Ambuj Tewari, Sougata Chaudhuri. "Generalization error bounds for learning to rank: Does the length of document lists matter?" | [Home Page] | [PDF]

• Toby Hocking, Guillem Rigaill, Guillaume Bourque. "PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data" | [Home Page] | [PDF]

• Olivier Fercoq, Alexandre Gramfort, Joseph Salmon. "Mind the duality gap: safer rules for the Lasso" | [Home Page] | [PDF]

• Robert Nishihara, Laurent Lessard, Ben Recht, Andrew Packard, Michael Jordan. "A General Analysis of the Convergence of ADMM" | [Home Page] | [PDF]

• Yuchen Zhang, Xiao Lin. "Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization" | [Home Page] | [PDF]

• Yuchen Zhang, Xiao Lin. "DiSCO: Distributed Optimization for Self-Concordant Empirical Loss" | [Home Page] | [PDF]

• Yuxin Chen, Changho Suh. "Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons" | [Home Page] | [PDF]

• Stephen Bach, Bert Huang, Jordan Boyd-Graber, Lise Getoor. "Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs" | [Home Page] | [PDF]

• Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed. "Structural Maxent Models" | [Home Page] | [PDF]

• Debarghya Ghoshdastidar, Ambedkar Dukkipati. "A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning" | [Home Page] | [PDF]

• Ben London, Bert Huang, Lise Getoor. "The Benefits of Learning with Strongly Convex Approximate Inference" | [Home Page] | [PDF]

• Bo Xin, David Wipf. "Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA" | [Home Page] | [PDF]

• Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi. "Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View" | [Home Page] | [PDF]

• Katharina Blechschmidt, Joachim Giesen, Soeren Laue. "Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains" | [Home Page] | [PDF]

• Sergey Ioffe, Christian Szegedy. "Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift" | [Home Page] | [PDF]

• Yuchen Zhang, Martin Wainwright, Michael Jordan. "Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds" | [Home Page] | [PDF]

• Dawen Liang, John Paisley. "Landmarking Manifolds with Gaussian Processes" | [Home Page] | [PDF]

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

• Wenzhuo Yang, Huan Xu. "A Unified Framework for Outlier-Robust PCA-like Algorithms" | [Home Page] | [PDF]

• Wenzhuo Yang, Huan Xu. "Streaming Sparse Principal Component Analysis" | [Home Page] | [PDF]

• Wenzhuo Yang, Huan Xu. "A Divide and Conquer Framework for Distributed Graph Clustering" | [Home Page] | [PDF]

• Senjian An, Farid Boussaid, Mohammed Bennamoun. "How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?" | [Home Page] | [PDF]

• K. Lakshmanan, Ronald Ortner, Daniil Ryabko. "Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning" | [Home Page] | [PDF]

• Michael Betancourt. "The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling" | [Home Page] | [PDF]

• Dan Garber, Elad Hazan. "Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets" | [Home Page] | [PDF]

• Mrinal Das, Trapit Bansal, Chiranjib Bhattacharyya. "Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models" | [Home Page] | [PDF]

• Dan Garber, Elad Hazan, Tengyu Ma. "Online Learning of Eigenvectors" | [Home Page] | [PDF]

• Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low. "A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data" | [Home Page] | [PDF]

• Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz. "Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup" | [Home Page] | [PDF]

• Seppo Virtanen, Mark Girolami. "Ordinal Mixed Membership Models" | [Home Page] | [PDF]

• Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han. "Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network" | [Home Page] | [PDF]

• Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch, Alex Smola. "Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods" | [Home Page] | [PDF]

• Garvesh Raskutti, Michael Mahoney. "Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares" | [Home Page] | [PDF]

• Nathaniel Korda, Prashanth La. "On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence" | [Home Page] | [PDF]

• Roi Weiss, Boaz Nadler. "Learning Parametric-Output HMMs with Two Aliased States" | [Home Page] | [PDF]

• Yarin Gal, Yutian Chen, Zoubin Ghahramani. "Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data" | [Home Page] | [PDF]

• Yarin Gal, Richard Turner. "Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs" | [Home Page] | [PDF]

• Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal. "Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top" | [Home Page] | [PDF]

• Dominik Csiba, Zheng Qu, Peter Richtarik. "Stochastic Dual Coordinate Ascent with Adaptive Probabilities" | [Home Page] | [PDF]

• Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar. "Vector-Space Markov Random Fields via Exponential Families" | [Home Page] | [PDF]

• Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka. "JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes" | [Home Page] | [PDF]

• Shashanka Ubaru, Arya Mazumdar, Yousef Saad. "Low Rank Approximation using Error Correcting Coding Matrices" | [Home Page] | [PDF]

• Assaf Hallak, Francois Schnitzler, Timothy Mann, Shie Mannor. "Off-policy Model-based Learning under Unknown Factored Dynamics" | [Home Page] | [PDF]

• Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li, Xilin Chen. "Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification" | [Home Page] | [PDF]

• Melih Kandemir. "Asymmetric Transfer Learning with Deep Gaussian Processes" | [Home Page] | [PDF]

• Rongda Zhu, Quanquan Gu. "Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing" | [Home Page] | [PDF]

• Stephan Gouws, Yoshua Bengio, Greg Corrado. "BilBOWA: Fast Bilingual Distributed Representations without Word Alignments" | [Home Page] | [PDF]

• Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi. "Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization" | [Home Page] | [PDF]

• Branislav Kveton, Csaba Szepesvari, Zheng Wen, Azin Ashkan. "Cascading Bandits: Learning to Rank in the Cascade Model" | [Home Page] | [PDF]

• James Foulds, Shachi Kumar, Lise Getoor. "Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models" | [Home Page] | [PDF]

• Alina Ene, Huy Nguyen. "Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions" | [Home Page] | [PDF]

• Karthik Narayan, Ali Punjani, Pieter Abbeel. "Alpha-Beta Divergences Discover Micro and Macro Structures in Data" | [Home Page] | [PDF]

• Johannes Heinrich, Marc Lanctot, David Silver. "Fictitious Self-Play in Extensive-Form Games" | [Home Page] | [PDF]

• Adith Swaminathan, Thorsten Joachims. "Counterfactual Risk Minimization: Learning from Logged Bandit Feedback" | [Home Page] | [PDF]

• Walid Krichene, Maximilian Balandat, Claire Tomlin, Alexandre Bayen. "The Hedge Algorithm on a Continuum" | [Home Page] | [PDF]

• David Belanger, Sham Kakade. "A Linear Dynamical System Model for Text" | [Home Page] | [PDF]

• Nitish Srivastava, Elman Mansimov, Ruslan Salakhudinov. "Unsupervised Learning of Video Representations using LSTMs" | [Home Page] | [PDF]

• Tao Sun, Dan Sheldon, Akshat Kumar. "Message Passing for Collective Graphical Models" | [Home Page] | [PDF]

• Yining Wang, Jun Zhu. "DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics" | [Home Page] | [PDF]

• Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor, Yan Liu. "HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades" | [Home Page] | [PDF]

• Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle. "MADE: Masked Autoencoder for Distribution Estimation" | [Home Page] | [PDF]

• Yuanbin Wu, Shiliang Sun. "An Online Learning Algorithm for Bilinear Models" | [Home Page] | [PDF]

• Georgios Papachristoudis, John Fisher. "Adaptive Belief Propagation" | [Home Page] | [PDF]

• Insu Han, Dmitry Malioutov, Jinwoo Shin. "Large-scale log-determinant computation through stochastic Chebyshev expansions" | [Home Page] | [PDF]

• Matt Kusner, Jacob Gardner, Roman Garnett, Kilian Weinberger. "Differentially Private Bayesian Optimization" | [Home Page] | [PDF]

• Chinmay Hegde, Piotr Indyk, Ludwig Schmidt. "A Nearly-Linear Time Framework for Graph-Structured Sparsity" | [Home Page] | [PDF]

• Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li. "Support Matrix Machines" | [Home Page] | [PDF]

• Richard Nock, Giorgio Patrini, Arik Friedman. "Rademacher Observations, Private Data, and Boosting" | [Home Page] | [PDF]

• Matt Kusner, Yu Sun, Nicholas Kolkin, Kilian Weinberger. "From Word Embeddings To Document Distances" | [Home Page] | [PDF]

• Taddy Matthew, Chun-Sheng Chen, Jun Yu, Mitch Wyle. "Bayesian and Empirical Bayesian Forests" | [Home Page] | [PDF]

• Jean Pouget-Abadie, Thibaut Horel. "Inferring Graphs from Cascades: A Sparse Recovery Framework" | [Home Page] | [PDF]

• Ching-Pei Lee, Dan Roth. "Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM" | [Home Page] | [PDF]

• Yanan Sui, Alkis Gotovos, Joel Burdick, Andreas Krause. "Safe Exploration for Optimization with Gaussian Processes" | [Home Page] | [PDF]

• Avrim Blum, Moritz Hardt. "The Ladder: A Reliable Leaderboard for Machine Learning Competitions" | [Home Page] | [PDF]

• Maurizio Filippone, Raphael Engler. "Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)" | [Home Page] | [PDF]

• Roman Garnett, Shirley Ho, Jeff Schneider. "Finding Galaxies in the Shadows of Quasars with Gaussian Processes" | [Home Page] | [PDF]

• Alon Cohen, Tamir Hazan. "Following the Perturbed Leader for Online Structured Learning" | [Home Page] | [PDF]

• Jacob Steinhardt, Percy Liang. "Reified Context Models" | [Home Page] | [PDF]

• Yasin Abbasi-Yadkori, Peter Bartlett, Xi Chen, Alan Malek. "Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing" | [Home Page] | [PDF]

• Jacob Steinhardt, Percy Liang. "Learning Fast-Mixing Models for Structured Prediction" | [Home Page] | [PDF]

• Daniel Hernandez-Lobato, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani. "A Probabilistic Model for Dirty Multi-task Feature Selection" | [Home Page] | [PDF]

• Weiran Wang, Raman Arora, Karen Livescu, Jeff Bilmes. "On Deep Multi-View Representation Learning" | [Home Page] | [PDF]

• Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas Guibas. "Learning Program Embeddings to Propagate Feedback on Student Code" | [Home Page] | [PDF]

• Qiang Zhou, Qi Zhao. "Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems" | [Home Page] | [PDF]

• Zheng Wen, Branislav Kveton, Azin Ashkan. "Efficient Learning in Large-Scale Combinatorial Semi-Bandits" | [Home Page] | [PDF]

• Andre Manoel, Florent Krzakala, Eric Tramel, Lenka Zdeborovà. "Swept Approximate Message Passing for Sparse Estimation" | [Home Page] | [PDF]

• Alexandra Carpentier, Michal Valko. "Simple regret for infinitely many armed bandits" | [Home Page] | [PDF]

• Wei-Lun Chao, Justin Solomon, Dominik Michels, Fei Sha. "Exponential Integration for Hamiltonian Monte Carlo" | [Home Page] | [PDF]

• Junpei Komiyama, Junya Honda, Hiroshi Nakagawa. "Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays" | [Home Page] | [PDF]

• Mike Izbicki, Christian Shelton. "Faster cover trees" | [Home Page] | [PDF]

• Tyler Johnson, Carlos Guestrin. "Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization" | [Home Page] | [PDF]

• Yaroslav Ganin, Victor Lempitsky. "Unsupervised Domain Adaptation by Backpropagation" | [Home Page] | [PDF]

• Yan-Fu Liu, Cheng-Yu Hsu, Shan-Hung Wu. "Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer" | [Home Page] | [PDF]

• Hyunwoo Kim, Jia Xu, Baba Vemuri, Vikas Singh. "Manifold-valued Dirichlet Processes" | [Home Page] | [PDF]

• Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell. "Multi-Task Learning for Subspace Segmentation" | [Home Page] | [PDF]

• Tim Salimans, Diederik Kingma, Max Welling. "Markov Chain Monte Carlo and Variational Inference: Bridging the Gap" | [Home Page] | [PDF]

• Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka. "Scalable Model Selection for Large-Scale Factorial Relational Models" | [Home Page] | [PDF]

• Rafael Barbosa, Alina Ene, Huy Nguyen, Justin Ward. "The Power of Randomization: Distributed Submodular Maximization on Massive Datasets" | [Home Page] | [PDF]

• Ralf Eggeling, Mikko Koivisto, Ivo Grosse. "Dealing with small data: On the generalization of context trees" | [Home Page] | [PDF]

• Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin. "Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood" | [Home Page] | [PDF]

• Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon. "A Bayesian nonparametric procedure for comparing algorithms" | [Home Page] | [PDF]

• Taiji Suzuki. "Convergence rate of Bayesian tensor estimator and its minimax optimality" | [Home Page] | [PDF]

• Yifan Wu, Andras Gyorgy, Csaba Szepesvari. "On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments" | [Home Page] | [PDF]

• Christian Naesseth, Fredrik Lindsten, Thomas Schon. "Nested Sequential Monte Carlo Methods" | [Home Page] | [PDF]

• Rishit Sheth, Yuyang Wang, Roni Khardon. "Sparse Variational Inference for Generalized GP Models" | [Home Page] | [PDF]

• Tom Schaul, Daniel Horgan, Karol Gregor, David Silver. "Universal Value Function Approximators" | [Home Page] | [PDF]

• Julien Perolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin. "Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games" | [Home Page] | [PDF]

• Dravyansh Sharma, Ashish Kapoor, Amit Deshpande. "On Greedy Maximization of Entropy" | [Home Page] | [PDF]

• Yi Wang, Bin Li, Yang Wang, Fang Chen. "Metadata Dependent Mondrian Processes" | [Home Page] | [PDF]

• Xiaojun Chang, Yi Yang, Eric Xing, Yaoliang Yu. "Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM" | [Home Page] | [PDF]

• Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki. "Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood" | [Home Page] | [PDF]

• Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung. "Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets" | [Home Page] | [PDF]

• Peter Kairouz, Sewoong Oh, Pramod Viswanath. "The Composition Theorem for Differential Privacy" | [Home Page] | [PDF]

• Marthinus Du Plessis, Gang Niu, Masashi Sugiyama. "Convex Formulation for Learning from Positive and Unlabeled Data" | [Home Page] | [PDF]

• Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga, Naonori Kakimura. "Threshold Influence Model for Allocating Advertising Budgets" | [Home Page] | [PDF]

• Amit Daniely, Alon Gonen, Shai Shalev-Shwartz. "Strongly Adaptive Online Learning" | [Home Page] | [PDF]

• Miao Xu, Rong Jin, Zhi-Hua Zhou. "CUR Algorithm for Partially Observed Matrices" | [Home Page] | [PDF]

• Yining Wang, Yu-Xiang Wang, Aarti Singh. "A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data" | [Home Page] | [PDF]

• Eric Sibony, Stéphan Clemençon, Jérémie Jakubowicz. "MRA-based Statistical Learning from Incomplete Rankings" | [Home Page] | [PDF]

• Jonathan Huggins, Josh Tenenbaum. "Risk and Regret of Hierarchical Bayesian Learners" | [Home Page] | [PDF]

• David Lopez-Paz, Krikamol Muandet, Bernhard Schölkopf, Iliya Tolstikhin. "Towards a Learning Theory of Cause-Effect Inference" | [Home Page] | [PDF]

• Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, Daan Wierstra. "DRAW: A Recurrent Neural Network For Image Generation" | [Home Page] | [PDF]

• Ehsan Amid, Antti Ukkonen. "Multiview Triplet Embedding: Learning Attributes in Multiple Maps" | [Home Page] | [PDF]

• Marc Deisenroth, Jun Wei Ng. "Distributed Gaussian Processes" | [Home Page] | [PDF]

• Gongguo Tang, Parikshit Shah. "Guaranteed Tensor Decomposition: A Moment Approach" | [Home Page] | [PDF]

• Zirui Zhou, Qi Zhang, Anthony Man-Cho So. "\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods" | [Home Page] | [PDF]

• Qiuyi Han, Kevin Xu, Edoardo Airoldi. "Consistent estimation of dynamic and multi-layer block models" | [Home Page] | [PDF]

• Manel Tagorti, Bruno Scherrer. "On the Rate of Convergence and Error Bounds for LSTD(λ)" | [Home Page] | [PDF]

• Danilo Rezende, Shakir Mohamed. "Variational Inference with Normalizing Flows" | [Home Page] | [PDF]

• Benn Macdonald, Catherine Higham, Dirk Husmeier. "Controversy in mechanistic modelling with Gaussian processes" | [Home Page] | [PDF]

• Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio, Lorenzo Rosasco. "Convex Learning of Multiple Tasks and their Structure" | [Home Page] | [PDF]

• Margarita Osadchy, Tamir Hazan, Daniel Keren. "K-hyperplane Hinge-Minimax Classifier" | [Home Page] | [PDF]

• Boris Lesner, Bruno Scherrer. "Non-Stationary Approximate Modified Policy Iteration" | [Home Page] | [PDF]

• Mathieu Serrurier, Henri Prade. "Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees" | [Home Page] | [PDF]

• Chong You, Rene Vidal. "Geometric Conditions for Subspace-Sparse Recovery" | [Home Page] | [PDF]

• Amar Shah, David Knowles, Zoubin Ghahramani. "An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process" | [Home Page] | [PDF]

• Xiaodan Zhu, Parinaz Sobihani, Hongyu Guo. "Long Short-Term Memory Over Recursive Structures" | [Home Page] | [PDF]

• Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra. "Weight Uncertainty in Neural Network" | [Home Page] | [PDF]

• Jiaqian Yu, Matthew Blaschko. "Learning Submodular Losses with the Lovasz Hinge" | [Home Page] | [PDF]

• Julie Nutini, Mark Schmidt, Issam Laradji, Michael Friedlander, Hoyt Koepke. "Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection" | [Home Page] | [PDF]

• Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu. "Hashing for Distributed Data" | [Home Page] | [PDF]

• Zhiting Hu, Ho Qirong, Avinava Dubey, Eric Xing. "Large-scale Distributed Dependent Nonparametric Trees" | [Home Page] | [PDF]

• Balazs Szorenyi, Robert Busa-Fekete, Paul Weng, Eyke Hüllermeier. "Qualitative Multi-Armed Bandits: A Quantile-Based Approach" | [Home Page] | [PDF]

• Li Xu, Jimmy Ren, Qiong Yan, Renjie Liao, Jiaya Jia. "Deep Edge-Aware Filters" | [Home Page] | [PDF]

• Shiau Hong Lim, Yudong Chen, Huan Xu. "A Convex Optimization Framework for Bi-Clustering" | [Home Page] | [PDF]

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