| 2015 | A Bayesian nonparametric procedure for comparing algorithms. Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon |
| 2015 | A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models. Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon |
| 2015 | A Convex Optimization Framework for Bi-Clustering. Shiau Hong Lim, Yudong Chen, Huan Xu |
| 2015 | A Deeper Look at Planning as Learning from Replay. Harm Vanseijen, Richard S. Sutton |
| 2015 | A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data. Yining Wang, Yu-Xiang Wang, Aarti Singh |
| 2015 | A Divide and Conquer Framework for Distributed Graph Clustering. Wenzhuo Yang, Huan Xu |
| 2015 | A Fast Variational Approach for Learning Markov Random Field Language Models. Yacine Jernite, Alexander M. Rush, David A. Sontag |
| 2015 | A General Analysis of the Convergence of ADMM. Robert Nishihara, Laurent Lessard, Benjamin Recht, Andrew K. Packard, Michael I. Jordan |
| 2015 | A Hybrid Approach for Probabilistic Inference using Random Projections. Michael Zhu, Stefano Ermon |
| 2015 | A Linear Dynamical System Model for Text. David Belanger, Sham M. Kakade |
| 2015 | A Lower Bound for the Optimization of Finite Sums. Alekh Agarwal, Léon Bottou |
| 2015 | A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis. Pinghua Gong, Jieping Ye |
| 2015 | A Multitask Point Process Predictive Model. Wenzhao Lian, Ricardo Henao, Vinayak A. Rao, Joseph E. Lucas, Lawrence Carin |
| 2015 | A Nearly-Linear Time Framework for Graph-Structured Sparsity. Chinmay Hegde, Piotr Indyk, Ludwig Schmidt |
| 2015 | A New Generalized Error Path Algorithm for Model Selection. Bin Gu, Charles X. Ling |
| 2015 | A Probabilistic Model for Dirty Multi-task Feature Selection. Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Zoubin Ghahramani |
| 2015 | A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning. Debarghya Ghoshdastidar, Ambedkar Dukkipati |
| 2015 | A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. Pratik Gajane, Tanguy Urvoy, Fabrice Clérot |
| 2015 | A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate. Ohad Shamir |
| 2015 | A Theoretical Analysis of Metric Hypothesis Transfer Learning. Michaël Perrot, Amaury Habrard |
| 2015 | A Unified Framework for Outlier-Robust PCA-like Algorithms. Wenzhuo Yang, Huan Xu |
| 2015 | A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data. Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low |
| 2015 | A low variance consistent test of relative dependency. Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus, Matthew B. Blaschko |
| 2015 | A trust-region method for stochastic variational inference with applications to streaming data. Lucas Theis, Matthew D. Hoffman |
| 2015 | Abstraction Selection in Model-based Reinforcement Learning. Nan Jiang, Alex Kulesza, Satinder Singh |
| 2015 | Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams. Rose Yu, Dehua Cheng, Yan Liu |
| 2015 | Active Nearest Neighbors in Changing Environments. Christopher Berlind, Ruth Urner |
| 2015 | Adaptive Belief Propagation. Georgios Papachristoudis, John W. Fisher III |
| 2015 | Adaptive Stochastic Alternating Direction Method of Multipliers. Peilin Zhao, Jinwei Yang, Tong Zhang, Ping Li |
| 2015 | Adding vs. Averaging in Distributed Primal-Dual Optimization. Chenxin Ma, Virginia Smith, Martin Jaggi, Michael I. Jordan, Peter Richtárik, Martin Takác |
| 2015 | Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction. Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand |
| 2015 | Alpha-Beta Divergences Discover Micro and Macro Structures in Data. Karthik S. Narayan, Ali Punjani, Pieter Abbeel |
| 2015 | An Aligned Subtree Kernel for Weighted Graphs. Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock |
| 2015 | An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization. Necdet S. Aybat, Zi Wang, Garud Iyengar |
| 2015 | An Empirical Exploration of Recurrent Network Architectures. Rafal Józefowicz, Wojciech Zaremba, Ilya Sutskever |
| 2015 | An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process. Amar Shah, David A. Knowles, Zoubin Ghahramani |
| 2015 | An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection. Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu |
| 2015 | An Online Learning Algorithm for Bilinear Models. Yuanbin Wu, Shiliang Sun |
| 2015 | An embarrassingly simple approach to zero-shot learning. Bernardino Romera-Paredes, Philip H. S. Torr |
| 2015 | Approval Voting and Incentives in Crowdsourcing. Nihar B. Shah, Dengyong Zhou, Yuval Peres |
| 2015 | Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games. Julien Pérolat, Bruno Scherrer, Bilal Piot, Olivier Pietquin |
| 2015 | Asymmetric Transfer Learning with Deep Gaussian Processes. Melih Kandemir |
| 2015 | Atomic Spatial Processes. Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté |
| 2015 | Attribute Efficient Linear Regression with Distribution-Dependent Sampling. Doron Kukliansky, Ohad Shamir |
| 2015 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift. Sergey Ioffe, Christian Szegedy |
| 2015 | Bayesian Multiple Target Localization. Purnima Rajan, Weidong Han, Raphael Sznitman, Peter I. Frazier, Bruno Jedynak |
| 2015 | Bayesian and Empirical Bayesian Forests. Matthew Taddy, Chun-Sheng Chen, Jun Yu, Mitch Wyle |
| 2015 | BilBOWA: Fast Bilingual Distributed Representations without Word Alignments. Stephan Gouws, Yoshua Bengio, Greg Corrado |
| 2015 | Bimodal Modelling of Source Code and Natural Language. Miltiadis Allamanis, Daniel Tarlow, Andrew D. Gordon, Yi Wei |
| 2015 | Binary Embedding: Fundamental Limits and Fast Algorithm. Xinyang Yi, Constantine Caramanis, Eric Price |
| 2015 | Bipartite Edge Prediction via Transductive Learning over Product Graphs. Hanxiao Liu, Yiming Yang |
| 2015 | Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization. Tyler B. Johnson, Carlos Guestrin |
| 2015 | Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions. Taehoon Lee, Sungroh Yoon |
| 2015 | Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View. Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi |
| 2015 | CUR Algorithm for Partially Observed Matrices. Miao Xu, Rong Jin, Zhi-Hua Zhou |
| 2015 | Cascading Bandits: Learning to Rank in the Cascade Model. Branislav Kveton, Csaba Szepesvári, Zheng Wen, Azin Ashkan |
| 2015 | Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. Philipp Geiger, Kun Zhang, Bernhard Schölkopf, Mingming Gong, Dominik Janzing |
| 2015 | Celeste: Variational inference for a generative model of astronomical images. Jeffrey Regier, Andrew C. Miller, Jon McAuliffe, Ryan P. Adams, Matthew D. Hoffman, Dustin Lang, David Schlegel, Prabhat |
| 2015 | Cheap Bandits. Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos |
| 2015 | Classification with Low Rank and Missing Data. Elad Hazan, Roi Livni, Yishay Mansour |
| 2015 | Community Detection Using Time-Dependent Personalized PageRank. Haim Avron, Lior Horesh |
| 2015 | Complete Dictionary Recovery Using Nonconvex Optimization. Ju Sun, Qing Qu, John Wright |
| 2015 | Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM. Xiaojun Chang, Yi Yang, Eric P. Xing, Yaoliang Yu |
| 2015 | Compressing Neural Networks with the Hashing Trick. Wenlin Chen, James T. Wilson, Stephen Tyree, Kilian Q. Weinberger, Yixin Chen |
| 2015 | Consistent Multiclass Algorithms for Complex Performance Measures. Harikrishna Narasimhan, Harish G. Ramaswamy, Aadirupa Saha, Shivani Agarwal |
| 2015 | Consistent estimation of dynamic and multi-layer block models. Qiuyi Han, Kevin S. Xu, Edoardo M. Airoldi |
| 2015 | Context-based Unsupervised Data Fusion for Decision Making. Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar |
| 2015 | Controversy in mechanistic modelling with Gaussian processes. Benn Macdonald, Catherine F. Higham, Dirk Husmeier |
| 2015 | Convergence rate of Bayesian tensor estimator and its minimax optimality. Taiji Suzuki |
| 2015 | Convex Calibrated Surrogates for Hierarchical Classification. Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal |
| 2015 | Convex Formulation for Learning from Positive and Unlabeled Data. Marthinus Christoffel du Plessis, Gang Niu, Masashi Sugiyama |
| 2015 | Convex Learning of Multiple Tasks and their Structure. Carlo Ciliberto, Youssef Mroueh, Tomaso A. Poggio, Lorenzo Rosasco |
| 2015 | Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. Julie Nutini, Mark Schmidt, Issam H. Laradji, Michael P. Friedlander, Hoyt A. Koepke |
| 2015 | Coresets for Nonparametric Estimation - the Case of DP-Means. Olivier Bachem, Mario Lucic, Andreas Krause |
| 2015 | Correlation Clustering in Data Streams. Kook Jin Ahn, Graham Cormode, Sudipto Guha, Andrew McGregor, Anthony Wirth |
| 2015 | Counterfactual Risk Minimization: Learning from Logged Bandit Feedback. Adith Swaminathan, Thorsten Joachims |
| 2015 | DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics. Yining Wang, Jun Zhu |
| 2015 | DRAW: A Recurrent Neural Network For Image Generation. Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra |
| 2015 | Dealing with small data: On the generalization of context trees. Ralf Eggeling, Mikko Koivisto, Ivo Grosse |
| 2015 | Deep Edge-Aware Filters. Li Xu, Jimmy S. J. Ren, Qiong Yan, Renjie Liao, Jiaya Jia |
| 2015 | Deep Learning with Limited Numerical Precision. Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan, Pritish Narayanan |
| 2015 | Deep Unsupervised Learning using Nonequilibrium Thermodynamics. Jascha Sohl-Dickstein, Eric A. Weiss, Niru Maheswaranathan, Surya Ganguli |
| 2015 | Deterministic Independent Component Analysis. Ruitong Huang, András György, Csaba Szepesvári |
| 2015 | DiSCO: Distributed Optimization for Self-Concordant Empirical Loss. Yuchen Zhang, Xiao Lin |
| 2015 | Differentially Private Bayesian Optimization. Matt J. Kusner, Jacob R. Gardner, Roman Garnett, Kilian Q. Weinberger |
| 2015 | Discovering Temporal Causal Relations from Subsampled Data. Mingming Gong, Kun Zhang, Bernhard Schölkopf, Dacheng Tao, Philipp Geiger |
| 2015 | Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM. Ching-pei Lee, Dan Roth |
| 2015 | Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds. Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan |
| 2015 | Distributed Gaussian Processes. Marc Peter Deisenroth, Jun Wei Ng |
| 2015 | Distributed Inference for Dirichlet Process Mixture Models. Hong Ge, Yutian Chen, Moquan Wan, Zoubin Ghahramani |
| 2015 | Distributional Rank Aggregation, and an Axiomatic Analysis. Adarsh Prasad, Harsh H. Pareek, Pradeep Ravikumar |
| 2015 | Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets. Woosang Lim, Minhwan Kim, Haesun Park, Kyomin Jung |
| 2015 | Dynamic Sensing: Better Classification under Acquisition Constraints. Oran Richman, Shie Mannor |
| 2015 | Efficient Learning in Large-Scale Combinatorial Semi-Bandits. Zheng Wen, Branislav Kveton, Azin Ashkan |
| 2015 | Efficient Training of LDA on a GPU by Mean-for-Mode Estimation. Jean-Baptiste Tristan, Joseph Tassarotti, Guy L. Steele Jr. |
| 2015 | Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE). Maurizio Filippone, Raphael Engler |
| 2015 | Entropic Graph-based Posterior Regularization. Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble |
| 2015 | Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees. Mathieu Serrurier, Henri Prade |
| 2015 | Entropy-Based Concentration Inequalities for Dependent Variables. Liva Ralaivola, Massih-Reza Amini |
| 2015 | Exponential Integration for Hamiltonian Monte Carlo. Wei-Lun Chao, Justin Solomon, Dominik L. Michels, Fei Sha |
| 2015 | Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods. Seth R. Flaxman, Andrew Gordon Wilson, Daniel B. Neill, Hannes Nickisch, Alexander J. Smola |
| 2015 | Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets. Dan Garber, Elad Hazan |
| 2015 | Faster cover trees. Mike Izbicki, Christian R. Shelton |
| 2015 | Feature-Budgeted Random Forest. Feng Nan, Joseph Wang, Venkatesh Saligrama |
| 2015 | Fictitious Self-Play in Extensive-Form Games. Johannes Heinrich, Marc Lanctot, David Silver |
| 2015 | Finding Galaxies in the Shadows of Quasars with Gaussian Processes. Roman Garnett, Shirley Ho, Jeff G. Schneider |
| 2015 | Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. Zhuang Ma, Yichao Lu, Dean P. Foster |
| 2015 | Fixed-point algorithms for learning determinantal point processes. Zelda Mariet, Suvrit Sra |
| 2015 | Following the Perturbed Leader for Online Structured Learning. Alon Cohen, Tamir Hazan |
| 2015 | From Word Embeddings To Document Distances. Matt J. Kusner, Yu Sun, Nicholas I. Kolkin, Kilian Q. Weinberger |
| 2015 | Functional Subspace Clustering with Application to Time Series. Mohammad Taha Bahadori, David C. Kale, Yingying Fan, Yan Liu |
| 2015 | Gated Feedback Recurrent Neural Networks. Junyoung Chung, Çaglar Gülçehre, Kyunghyun Cho, Yoshua Bengio |
| 2015 | Generalization error bounds for learning to rank: Does the length of document lists matter? Ambuj Tewari, Sougata Chaudhuri |
| 2015 | Generative Moment Matching Networks. Yujia Li, Kevin Swersky, Richard S. Zemel |
| 2015 | Geometric Conditions for Subspace-Sparse Recovery. Chong You, René Vidal |
| 2015 | Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems. Christopher De Sa, Christopher Ré, Kunle Olukotun |
| 2015 | Gradient-based Hyperparameter Optimization through Reversible Learning. Dougal Maclaurin, David Duvenaud, Ryan P. Adams |
| 2015 | Guaranteed Tensor Decomposition: A Moment Approach. Gongguo Tang, Parikshit Shah |
| 2015 | Harmonic Exponential Families on Manifolds. Taco Cohen, Max Welling |
| 2015 | Hashing for Distributed Data. Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang, Hanqing Lu |
| 2015 | HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades. Xinran He, Theodoros Rekatsinas, James R. Foulds, Lise Getoor, Yan Liu |
| 2015 | Hidden Markov Anomaly Detection. Nico Görnitz, Mikio L. Braun, Marius Kloft |
| 2015 | High Confidence Policy Improvement. Philip S. Thomas, Georgios Theocharous, Mohammad Ghavamzadeh |
| 2015 | High Dimensional Bayesian Optimisation and Bandits via Additive Models. Kirthevasan Kandasamy, Jeff G. Schneider, Barnabás Póczos |
| 2015 | How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? Senjian An, Farid Boussaïd, Mohammed Bennamoun |
| 2015 | How Hard is Inference for Structured Prediction? Amir Globerson, Tim Roughgarden, David A. Sontag, Cafer Yildirim |
| 2015 | Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning. K. Lakshmanan, Ronald Ortner, Daniil Ryabko |
| 2015 | Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs. Yarin Gal, Richard E. Turner |
| 2015 | Inference in a Partially Observed Queuing Model with Applications in Ecology. Kevin Winner, Garrett Bernstein, Daniel Sheldon |
| 2015 | Inferring Graphs from Cascades: A Sparse Recovery Framework. Jean Pouget-Abadie, Thibaut Horel |
| 2015 | Information Geometry and Minimum Description Length Networks. Ke Sun, Jun Wang, Alexandros Kalousis, Stéphane Marchand-Maillet |
| 2015 | Intersecting Faces: Non-negative Matrix Factorization With New Guarantees. Rong Ge, James Zou |
| 2015 | Is Feature Selection Secure against Training Data Poisoning? Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert, Fabio Roli |
| 2015 | JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes. Jonathan H. Huggins, Karthik Narasimhan, Ardavan Saeedi, Vikash Mansinghka |
| 2015 | K-hyperplane Hinge-Minimax Classifier. Margarita Osadchy, Tamir Hazan, Daniel Keren |
| 2015 | Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP). Andrew Gordon Wilson, Hannes Nickisch |
| 2015 | Landmarking Manifolds with Gaussian Processes. Dawen Liang, John W. Paisley |
| 2015 | Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing. Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek |
| 2015 | Large-scale Distributed Dependent Nonparametric Trees. Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing |
| 2015 | Large-scale log-determinant computation through stochastic Chebyshev expansions. Insu Han, Dmitry Malioutov, Jinwoo Shin |
| 2015 | Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data. Yarin Gal, Yutian Chen, Zoubin Ghahramani |
| 2015 | Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models. James R. Foulds, Shachi H. Kumar, Lise Getoor |
| 2015 | Learning Deep Structured Models. Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun |
| 2015 | Learning Fast-Mixing Models for Structured Prediction. Jacob Steinhardt, Percy Liang |
| 2015 | Learning Local Invariant Mahalanobis Distances. Ethan Fetaya, Shimon Ullman |
| 2015 | Learning Parametric-Output HMMs with Two Aliased States. Roi Weiss, Boaz Nadler |
| 2015 | Learning Program Embeddings to Propagate Feedback on Student Code. Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas |
| 2015 | Learning Scale-Free Networks by Dynamic Node Specific Degree Prior. Qingming Tang, Siqi Sun, Jinbo Xu |
| 2015 | Learning Submodular Losses with the Lovasz Hinge. Jiaqian Yu, Matthew B. Blaschko |
| 2015 | Learning Transferable Features with Deep Adaptation Networks. Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan |
| 2015 | Learning Word Representations with Hierarchical Sparse Coding. Dani Yogatama, Manaal Faruqui, Chris Dyer, Noah A. Smith |
| 2015 | Learning from Corrupted Binary Labels via Class-Probability Estimation. Aditya Krishna Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson |
| 2015 | Learning to Search Better than Your Teacher. Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford |
| 2015 | Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification. Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li, Xilin Chen |
| 2015 | Long Short-Term Memory Over Recursive Structures. Xiaodan Zhu, Parinaz Sobhani, Hongyu Guo |
| 2015 | Low Rank Approximation using Error Correcting Coding Matrices. Shashanka Ubaru, Arya Mazumdar, Yousef Saad |
| 2015 | Low-Rank Matrix Recovery from Row-and-Column Affine Measurements. Or Zuk, Avishai Wagner |
| 2015 | MADE: Masked Autoencoder for Distribution Estimation. Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle |
| 2015 | MRA-based Statistical Learning from Incomplete Rankings. Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz |
| 2015 | Manifold-valued Dirichlet Processes. Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh |
| 2015 | Markov Chain Monte Carlo and Variational Inference: Bridging the Gap. Tim Salimans, Diederik P. Kingma, Max Welling |
| 2015 | Markov Mixed Membership Models. Aonan Zhang, John W. Paisley |
| 2015 | Message Passing for Collective Graphical Models. Tao Sun, Daniel Sheldon, Akshat Kumar |
| 2015 | Metadata Dependent Mondrian Processes. Yi Wang, Bin Li, Yang Wang, Fang Chen |
| 2015 | Mind the duality gap: safer rules for the Lasso. Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2015 | Modeling Order in Neural Word Embeddings at Scale. Andrew Trask, David Gilmore, Matthew Russell |
| 2015 | Moderated and Drifting Linear Dynamical Systems. Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard |
| 2015 | Multi-Task Learning for Subspace Segmentation. Yu Wang, David P. Wipf, Qing Ling, Wei Chen, Ian J. Wassell |
| 2015 | Multi-instance multi-label learning in the presence of novel class instances. Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Jesús Pérez Arriaga |
| 2015 | Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi |
| 2015 | Multiview Triplet Embedding: Learning Attributes in Multiple Maps. Ehsan Amid, Antti Ukkonen |
| 2015 | Nested Sequential Monte Carlo Methods. Christian A. Naesseth, Fredrik Lindsten, Thomas B. Schön |
| 2015 | Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood. Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley, Lawrence Carin |
| 2015 | Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer. Yan-Fu Liu, Cheng-Yu Hsu, Shan-Hung Wu |
| 2015 | Non-Stationary Approximate Modified Policy Iteration. Boris Lesner, Bruno Scherrer |
| 2015 | Off-policy Model-based Learning under Unknown Factored Dynamics. Assaf Hallak, François Schnitzler, Timothy A. Mann, Shie Mannor |
| 2015 | On Deep Multi-View Representation Learning. Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes |
| 2015 | On Greedy Maximization of Entropy. Dravyansh Sharma, Ashish Kapoor, Amit Deshpande |
| 2015 | On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments. Yifan Wu, András György, Csaba Szepesvári |
| 2015 | On Symmetric and Asymmetric LSHs for Inner Product Search. Behnam Neyshabur, Nathan Srebro |
| 2015 | On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence. Nathaniel Korda, Prashanth L. A. |
| 2015 | On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property. Maxime Gasse, Alexandre Aussem, Haytham Elghazel |
| 2015 | On the Rate of Convergence and Error Bounds for LSTD(\(\lambda\)). Manel Tagorti, Bruno Scherrer |
| 2015 | On the Relationship between Sum-Product Networks and Bayesian Networks. Han Zhao, Mazen Melibari, Pascal Poupart |
| 2015 | Online Learning of Eigenvectors. Dan Garber, Elad Hazan, Tengyu Ma |
| 2015 | Online Time Series Prediction with Missing Data. Oren Anava, Elad Hazan, Assaf Zeevi |
| 2015 | Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han |
| 2015 | Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays. Junpei Komiyama, Junya Honda, Hiroshi Nakagawa |
| 2015 | Optimal and Adaptive Algorithms for Online Boosting. Alina Beygelzimer, Satyen Kale, Haipeng Luo |
| 2015 | Optimizing Neural Networks with Kronecker-factored Approximate Curvature. James Martens, Roger B. Grosse |
| 2015 | Optimizing Non-decomposable Performance Measures: A Tale of Two Classes. Harikrishna Narasimhan, Purushottam Kar, Prateek Jain |
| 2015 | Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models. Mrinal Kanti Das, Trapit Bansal, Chiranjib Bhattacharyya |
| 2015 | Ordinal Mixed Membership Models. Seppo Virtanen, Mark A. Girolami |
| 2015 | PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent. Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2015 | PU Learning for Matrix Completion. Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon |
| 2015 | Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs. Stephen H. Bach, Bert Huang, Jordan L. Boyd-Graber, Lise Getoor |
| 2015 | PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data. Toby Hocking, Guillem Rigaill, Guillaume Bourque |
| 2015 | Phrase-based Image Captioning. Rémi Lebret, Pedro H. O. Pinheiro, Ronan Collobert |
| 2015 | Predictive Entropy Search for Bayesian Optimization with Unknown Constraints. José Miguel Hernández-Lobato, Michael A. Gelbart, Matthew W. Hoffman, Ryan P. Adams, Zoubin Ghahramani |
| 2015 | Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons. Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit S. Dhillon |
| 2015 | Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo. Yu-Xiang Wang, Stephen E. Fienberg, Alexander J. Smola |
| 2015 | Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks. José Miguel Hernández-Lobato, Ryan P. Adams |
| 2015 | Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 Francis R. Bach, David M. Blei |
| 2015 | Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach. Jason Pacheco, Erik B. Sudderth |
| 2015 | Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA. Bo Xin, David P. Wipf |
| 2015 | Qualitative Multi-Armed Bandits: A Quantile-Based Approach. Balázs Szörényi, Róbert Busa-Fekete, Paul Weng, Eyke Hüllermeier |
| 2015 | Rademacher Observations, Private Data, and Boosting. Richard Nock, Giorgio Patrini, Arik Friedman |
| 2015 | Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions. Alina Ene, Huy L. Nguyen |
| 2015 | Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal |
| 2015 | Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki |
| 2015 | Reified Context Models. Jacob Steinhardt, Percy Liang |
| 2015 | Removing systematic errors for exoplanet search via latent causes. Bernhard Schölkopf, David W. Hogg, Dun Wang, Daniel Foreman-Mackey, Dominik Janzing, Carl-Johann Simon-Gabriel, Jonas Peters |
| 2015 | Risk and Regret of Hierarchical Bayesian Learners. Jonathan H. Huggins, Joshua B. Tenenbaum |
| 2015 | Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes. Huitong Qiu, Sheng Xu, Fang Han, Han Liu, Brian Caffo |
| 2015 | Robust partially observable Markov decision process. Takayuki Osogami |
| 2015 | Safe Exploration for Optimization with Gaussian Processes. Yanan Sui, Alkis Gotovos, Joel W. Burdick, Andreas Krause |
| 2015 | Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret. Haitham Bou-Ammar, Rasul Tutunov, Eric Eaton |
| 2015 | Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices. Jie Wang, Jieping Ye |
| 2015 | Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems. Qiang Zhou, Qi Zhao |
| 2015 | Scalable Bayesian Optimization Using Deep Neural Networks. Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, Ryan P. Adams |
| 2015 | Scalable Deep Poisson Factor Analysis for Topic Modeling. Zhe Gan, Changyou Chen, Ricardo Henao, David E. Carlson, Lawrence Carin |
| 2015 | Scalable Model Selection for Large-Scale Factorial Relational Models. Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka |
| 2015 | Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes. Yves-Laurent Kom Samo, Stephen J. Roberts |
| 2015 | Scalable Variational Inference in Log-supermodular Models. Josip Djolonga, Andreas Krause |
| 2015 | Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix. Roger B. Grosse, Ruslan Salakhutdinov |
| 2015 | Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, Yoshua Bengio |
| 2015 | Simple regret for infinitely many armed bandits. Alexandra Carpentier, Michal Valko |
| 2015 | Sparse Subspace Clustering with Missing Entries. Congyuan Yang, Daniel P. Robinson, René Vidal |
| 2015 | Sparse Variational Inference for Generalized GP Models. Rishit Sheth, Yuyang Wang, Roni Khardon |
| 2015 | Spectral Clustering via the Power Method - Provably. Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens |
| 2015 | Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons. Yuxin Chen, Changho Suh |
| 2015 | Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares. Garvesh Raskutti, Michael W. Mahoney |
| 2015 | Stay on path: PCA along graph paths. Megasthenis Asteris, Anastasios Kyrillidis, Alexandros G. Dimakis, Han-Gyol Yi, Bharath Chandrasekaran |
| 2015 | Stochastic Dual Coordinate Ascent with Adaptive Probabilities. Dominik Csiba, Zheng Qu, Peter Richtárik |
| 2015 | Stochastic Optimization with Importance Sampling for Regularized Loss Minimization. Peilin Zhao, Tong Zhang |
| 2015 | Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization. Yuchen Zhang, Xiao Lin |
| 2015 | Streaming Sparse Principal Component Analysis. Wenzhuo Yang, Huan Xu |
| 2015 | Strongly Adaptive Online Learning. Amit Daniely, Alon Gonen, Shai Shalev-Shwartz |
| 2015 | Structural Maxent Models. Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed |
| 2015 | Submodularity in Data Subset Selection and Active Learning. Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes |
| 2015 | Subsampling Methods for Persistent Homology. Frédéric Chazal, Brittany Terese Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo, Larry A. Wasserman |
| 2015 | Support Matrix Machines. Luo Luo, Yubo Xie, Zhihua Zhang, Wu-Jun Li |
| 2015 | Surrogate Functions for Maximizing Precision at the Top. Purushottam Kar, Harikrishna Narasimhan, Prateek Jain |
| 2015 | Swept Approximate Message Passing for Sparse Estimation. Andre Manoel, Florent Krzakala, Eric W. Tramel, Lenka Zdeborová |
| 2015 | Telling cause from effect in deterministic linear dynamical systems. Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf, Michel Besserve |
| 2015 | The Benefits of Learning with Strongly Convex Approximate Inference. Ben London, Bert Huang, Lise Getoor |
| 2015 | The Composition Theorem for Differential Privacy. Peter Kairouz, Sewoong Oh, Pramod Viswanath |
| 2015 | The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling. Michael Betancourt |
| 2015 | The Hedge Algorithm on a Continuum. Walid Krichene, Maximilian Balandat, Claire J. Tomlin, Alexandre M. Bayen |
| 2015 | The Kendall and Mallows Kernels for Permutations. Yunlong Jiao, Jean-Philippe Vert |
| 2015 | The Ladder: A Reliable Leaderboard for Machine Learning Competitions. Avrim Blum, Moritz Hardt |
| 2015 | The Power of Randomization: Distributed Submodular Maximization on Massive Datasets. Rafael da Ponte Barbosa, Alina Ene, Huy L. Nguyen, Justin Ward |
| 2015 | Theory of Dual-sparse Regularized Randomized Reduction. Tianbao Yang, Lijun Zhang, Rong Jin, Shenghuo Zhu |
| 2015 | Threshold Influence Model for Allocating Advertising Budgets. Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga, Naonori Kakimura |
| 2015 | Towards a Learning Theory of Cause-Effect Inference. David Lopez-Paz, Krikamol Muandet, Bernhard Schölkopf, Ilya O. Tolstikhin |
| 2015 | Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing. Rongda Zhu, Quanquan Gu |
| 2015 | Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains. Katharina Blechschmidt, Joachim Giesen, Sören Laue |
| 2015 | Training Deep Convolutional Neural Networks to Play Go. Christopher Clark, Amos J. Storkey |
| 2015 | Trust Region Policy Optimization. John Schulman, Sergey Levine, Pieter Abbeel, Michael I. Jordan, Philipp Moritz |
| 2015 | Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization. Roy Frostig, Rong Ge, Sham M. Kakade, Aaron Sidford |
| 2015 | Universal Value Function Approximators. Tom Schaul, Daniel Horgan, Karol Gregor, David Silver |
| 2015 | Unsupervised Domain Adaptation by Backpropagation. Yaroslav Ganin, Victor S. Lempitsky |
| 2015 | Unsupervised Learning of Video Representations using LSTMs. Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov |
| 2015 | Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. Tam Le, Marco Cuturi |
| 2015 | Variational Generative Stochastic Networks with Collaborative Shaping. Philip Bachman, Doina Precup |
| 2015 | Variational Inference for Gaussian Process Modulated Poisson Processes. Chris M. Lloyd, Tom Gunter, Michael A. Osborne, Stephen J. Roberts |
| 2015 | Variational Inference with Normalizing Flows. Danilo Jimenez Rezende, Shakir Mohamed |
| 2015 | Vector-Space Markov Random Fields via Exponential Families. Wesley Tansey, Oscar Hernan Madrid Padilla, Arun Sai Suggala, Pradeep Ravikumar |
| 2015 | Weight Uncertainty in Neural Network. Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra |
| 2015 | Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz |
| 2015 | \(\ell_{1, p}\)-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods. Zirui Zhou, Qi Zhang, Anthony Man-Cho So |