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All publications in 2015
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Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
Avishai Wagner and Or Zuk
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Hybrid Approach for Probabilistic Inference using Random Projections
Michael Zhu and Stefano Ermon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Long Short-Term Memory Over Recursive Structures
Xiaodan Zhu, Parinaz Sobihani and Hongyu Guo
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing
Rongda Zhu and Quanquan Gu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


$\ell_{1,p}$-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods
Zirui Zhou, Qi Zhang and Anthony M. So
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems
Qiang Zhou and Qi Zhao
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On the Relationship between Sum-Product Networks and Bayesian Networks
Han Zhao, Mazen Melibari and Pascal Poupart
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Adaptive Stochastic Alternating Direction Method of Multipliers
Peilin Zhao, Jinwei Yang, Tong Zhang and Ping Li
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Optimization with Importance Sampling for Regularized Loss Minimization
Peilin Zhao and Tong Zhang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Markov Mixed Membership Models
Aonan Zhang and John Paisley
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
Yuchen Zhang, Martin Wainwright and Michael Jordan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
Yuchen Zhang and Xiao Lin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization
Yuchen Zhang and Xiao Lin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Submodular Losses with the Lovasz Hinge
Jiaqian Yu and Matthew Blaschko
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Xin Yuan, Ricardo Henao, Ephraim Tsalik, Raymond Langley and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams
Rose Yu, Dehua Cheng and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Geometric Conditions for Subspace-Sparse Recovery
Chong You and Rene Vidal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Word Representations with Hierarchical Sparse Coding
Dani Yogatama, Manaal Faruqui, Chris Dyer and Noah Smith
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Binary Embedding: Fundamental Limits and Fast Algorithm
Xinyang Yi, Constantine Caramanis and Eric Price
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
En-hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar and Inderjit Dhillon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Sparse Subspace Clustering with Missing Entries
Congyuan Yang, Daniel Robinson and Rene Vidal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Divide and Conquer Framework for Distributed Graph Clustering
Wenzhuo Yang and Huan Xu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Streaming Sparse Principal Component Analysis
Wenzhuo Yang and Huan Xu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Unified Framework for Outlier-Robust PCA-like Algorithms
Wenzhuo Yang and Huan Xu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Theory of Dual-sparse Regularized Randomized Reduction
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron Courville, Ruslan Salakhudinov, Rich Zemel and Yoshua Bengio
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Deep Edge-Aware Filters
Li Xu, Jimmy Ren, Qiong Yan, Renjie Liao and Jiaya Jia
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


CUR Algorithm for Partially Observed Matrices
Miao Xu, Rong Jin and Zhi-hua Zhou
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA
Bo Xin and David Wipf
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Is Feature Selection Secure against Training Data Poisoning?
Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert and Fabio Roli
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments
Yifan Wu, Andras Gyorgy and Csaba Szepesvari
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Online Learning Algorithm for Bilinear Models
Yuanbin Wu and Shiliang Sun
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Inference in a Partially Observed Queuing Model with Applications in Ecology
Kevin Winner, Garrett Bernstein and Dan Sheldon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)
Andrew Wilson and Hannes Nickisch
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Zheng Wen, Branislav Kveton and Azin Ashkan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Parametric-Output HMMs with Two Aliased States
Roi Weiss and Boaz Nadler
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Submodularity in Data Subset Selection and Active Learning
Kai Wei, Rishabh Iyer and Jeff Bilmes
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
Yu-xiang Wang, Stephen Fienberg and Alex Smola
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang and Jieping Ye
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
Yining Wang, Yu-xiang Wang and Aarti Singh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Metadata Dependent Mondrian Processes
Yi Wang, Bin Li, Yang Wang and Fang Chen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Multi-Task Learning for Subspace Segmentation
Yu Wang, David Wipf, Qing Ling, Wei Chen and Ian Wassell
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On Deep Multi-View Representation Learning
Weiran Wang, Raman Arora, Karen Livescu and Jeff Bilmes
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


DP-space: Bayesian Nonparametric Subspace Clustering with Small-variance Asymptotics
Yining Wang and Jun Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Ordinal Mixed Membership Models
Seppo Virtanen and Mark Girolami
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Deeper Look at Planning as Learning from Replay
Harm Vanseijen and Rich Sutton
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Low Rank Approximation using Error Correcting Coding Matrices
Shashanka Ubaru, Arya Mazumdar and Yousef Saad
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Efficient Training of LDA on a GPU by Mean-for-Mode Estimation
Jean-baptiste Tristan, Joseph Tassarotti and Guy Steele
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Modeling Order in Neural Word Embeddings at Scale
Andrew Trask, David Gilmore and Matthew Russell
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


High Confidence Policy Improvement
Philip Thomas, Georgios Theocharous and Mohammad Ghavamzadeh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A trust-region method for stochastic variational inference with applications to streaming data
Lucas Theis and Matt Hoffman
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Generalization error bounds for learning to rank: Does the length of document lists matter?
Ambuj Tewari and Sougata Chaudhuri
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Vector-Space Markov Random Fields via Exponential Families
Wesley Tansey, Oscar Padilla, Arun S. Suggala and Pradeep Ravikumar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
Qingming Tang, Siqi Sun and Jinbo Xu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Guaranteed Tensor Decomposition: A Moment Approach
Gongguo Tang and Parikshit Shah
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On the Rate of Convergence and Error Bounds for LSTD($\lambda$)
Manel Tagorti and Bruno Scherrer
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Qualitative Multi-Armed Bandits: A Quantile-Based Approach
Balazs Szorenyi, Robert Busa-fekete, Paul Weng and Eyke Hüllermeier
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
Adith Swaminathan and Thorsten Joachims
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Convergence rate of Bayesian tensor estimator and its minimax optimality
Taiji Suzuki
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Complete Dictionary Recovery Using Nonconvex Optimization
Ju Sun, Qing Qu and John Wright
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Message Passing for Collective Graphical Models
Tao Sun, Dan Sheldon and Akshat Kumar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Jiangwen Sun, Jin Lu, Tingyang Xu and Jinbo Bi
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Information Geometry and Minimum Description Length Networks
Ke Sun, Jun Wang, Alexandros Kalousis and Stephan Marchand-maillet
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Safe Exploration for Optimization with Gaussian Processes
Yanan Sui, Alkis Gotovos, Joel Burdick and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Fast-Mixing Models for Structured Prediction
Jacob Steinhardt and Percy Liang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Reified Context Models
Jacob Steinhardt and Percy Liang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov and Ruslan Salakhudinov
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Context-based Unsupervised Data Fusion for Decision Making
Erfan Soltanmohammadi, Mort Naraghi-pour and Mihaela Schaar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Mostofa Patwary, Mr Prabhat and Ryan Adams
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


MRA-based Statistical Learning from Incomplete Rankings
Eric Sibony, Stéphan Clemençon and Jérémie Jakubowicz
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Sparse Variational Inference for Generalized GP Models
Rishit Sheth, Yuyang Wang and Roni Khardon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On Greedy Maximization of Entropy
Dravyansh Sharma, Ashish Kapoor and Amit Deshpande
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate
Ohad Shamir
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Telling cause from effect in deterministic linear dynamical systems
Naji Shajarisales, Dominik Janzing, Bernhard Schoelkopf and Michel Besserve
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
Amar Shah, David Knowles and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Approval Voting and Incentives in Crowdsourcing
Nihar Shah, Dengyong Zhou and Yuval Peres
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees
Mathieu Serrurier and Henri Prade
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Trust Region Policy Optimization
John Schulman, Sergey Levine, Pieter Abbeel, Michael Jordan and Philipp Moritz
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David Hogg, Dun Wang, Dan Foreman-mackey, Dominik Janzing, Carl-johann Simon-gabriel and Jonas Peters
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Universal Value Function Approximators
Tom Schaul, Daniel Horgan, Karol Gregor and David Silver
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
Yves-laurent K. Samo and Stephen Roberts
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Tim Salimans, Diederik Kingma and Max Welling
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
Christopher D. Sa, Christopher Re and Kunle Olukotun
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Dynamic Sensing: Better Classification under Acquisition Constraints
Oran Richman and Shie Mannor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Variational Inference with Normalizing Flows
Danilo Rezende and Shakir Mohamed
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Celeste: Variational inference for a generative model of astronomical images
Jeffrey Regier, Andrew Miller, Jon Mcauliffe, Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel and Mr Prabhat
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti and Michael Mahoney
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Convex Calibrated Surrogates for Hierarchical Classification
Harish Ramaswamy, Ambuj Tewari and Shivani Agarwal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Entropy-Based Concentration Inequalities for Dependent Variables
Liva Ralaivola and Massih-reza Amini
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
Arun Rajkumar, Suprovat Ghoshal, Lek-heng Lim and Shivani Agarwal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Bayesian Multiple Target Localization
Purnima Rajan, Weidong Han, Raphael Sznitman, Peter Frazier and Bruno Jedynak
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes
Huitong Qiu, Sheng Xu, Fang Han, Han Liu and Brian Caffo
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributional Rank Aggregation, and an Axiomatic Analysis
Adarsh Prasad, Harsh Pareek and Pradeep Ravikumar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Convex Formulation for Learning from Positive and Unlabeled Data
Marthinus D. Plessis, Gang Niu and Masashi Sugiyama
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Program Embeddings to Propagate Feedback on Student Code
Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami and Leonidas Guibas
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Multi-instance multi-label learning in the presence of novel class instances
Anh Pham, Raviv Raich, Xiaoli Fern and Jesús P. Arriaga
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Theoretical Analysis of Metric Hypothesis Transfer Learning
Michaël Perrot and Amaury Habrard
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
Julien Perolat, Bruno Scherrer, Bilal Piot and Olivier Pietquin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons
Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi and Inderjit Dhillon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Adaptive Belief Propagation
Georgios Papachristoudis and John Fisher
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach
Jason Pacheco and Erik Sudderth
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Robust partially observable Markov decision process
Takayuki Osogami
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


K-hyperplane Hinge-Minimax Classifier
Margarita Osadchy, Tamir Hazan and Daniel Keren
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
Julie Nutini, Mark Schmidt, Issam Laradji, Michael Friedlander and Hoyt Koepke
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Rademacher Observations, Private Data, and Boosting
Richard Nock, Giorgio Patrini and Arik Friedman
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A General Analysis of the Convergence of ADMM
Robert Nishihara, Laurent Lessard, Ben Recht, Andrew Packard and Michael Jordan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur and Nathan Srebro
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Alpha-Beta Divergences Discover Micro and Macro Structures in Data
Karthik Narayan, Ali Punjani and Pieter Abbeel
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Consistent Multiclass Algorithms for Complex Performance Measures
Harikrishna Narasimhan, Harish Ramaswamy, Aadirupa Saha and Shivani Agarwal
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
Harikrishna Narasimhan, Purushottam Kar and Prateek Jain
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Feature-Budgeted Random Forest
Feng Nan, Joseph Wang and Venkatesh Saligrama
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Nested Sequential Monte Carlo Methods
Christian Naesseth, Fredrik Lindsten and Thomas Schon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Threshold Influence Model for Allocating Advertising Budgets
Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga and Naonori Kakimura
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning from Corrupted Binary Labels via Class-Probability Estimation
Aditya Menon, Brendan V. Rooyen, Cheng S. Ong and Bob Williamson
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Bayesian and Empirical Bayesian Forests
Taddy Matthew, Chun-sheng Chen, Jun Yu and Mitch Wyle
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Optimizing Neural Networks with Kronecker-factored Approximate Curvature
James Martens and Roger Grosse
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fixed-point algorithms for learning determinantal point processes
Zelda Mariet and Suvrit Sra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Swept Approximate Message Passing for Sparse Estimation
Andre Manoel, Florent Krzakala, Eric Tramel and Lenka Zdeborovà
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
Takanori Maehara, Akihiro Yabe and Ken-ichi Kawarabayashi
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Gradient-based Hyperparameter Optimization through Reversible Learning
Dougal Maclaurin, David Duvenaud and Ryan Adams
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Controversy in mechanistic modelling with Gaussian processes
Benn Macdonald, Catherine Higham and Dirk Husmeier
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Adding vs. Averaging in Distributed Primal-Dual Optimization
Chenxin Ma, Virginia Smith, Martin Jaggi, Michael Jordan, Peter Richtarik and Martin Takac
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma, Yichao Lu and Dean Foster
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Support Matrix Machines
Luo Luo, Yubo Xie, Zhihua Zhang and Wu-jun Li
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang and Michael Jordan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Benefits of Learning with Strongly Convex Approximate Inference
Ben London, Bert Huang and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Variational Inference for Gaussian Process Modulated Poisson Processes
Chris Lloyd, Tom Gunter, Michael Osborne and Stephen Roberts
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Bipartite Edge Prediction via Transductive Learning over Product Graphs
Hanxiao Liu and Yiming Yang
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Model Selection for Large-Scale Factorial Relational Models
Chunchen Liu, Lu Feng, Ryohei Fujimaki and Yusuke Muraoka
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
Yan-fu Liu, Cheng-yu Hsu and Shan-hung Wu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Convex Optimization Framework for Bi-Clustering
Shiau H. Lim, Yudong Chen and Huan Xu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Double Nystr\" om Method: An Efficient and Accurate Nystr\"om Scheme for Large-Scale Data Sets
Woosang Lim, Minhwan Kim, Haesun Park and Kyomin Jung
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Entropic Graph-based Posterior Regularization
Maxwell Libbrecht, Michael Hoffman, Jeff Bilmes and William Noble
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Landmarking Manifolds with Gaussian Processes
Dawen Liang and John Paisley
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Multitask Point Process Predictive Model
Wenzhao Lian, Ricardo Henao, Vinayak Rao, Joseph Lucas and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Generative Moment Matching Networks
Yujia Li, Kevin Swersky and Rich Zemel
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Non-Stationary Approximate Modified Policy Iteration
Boris Lesner and Bruno Scherrer
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Hashing for Distributed Data
Cong Leng, Jiaxiang Wu, Jian Cheng, Xi Zhang and Hanqing Lu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions
Taehoon Lee and Sungroh Yoon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
Ching-pei Lee and Dan Roth
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Phrase-based Image Captioning
Remi Lebret, Pedro Pinheiro and Ronan Collobert
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations
Tam Le and Marco Cuturi
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning
K. Lakshmanan, Ronald Ortner and Daniil Ryabko
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Cascading Bandits: Learning to Rank in the Cascade Model
Branislav Kveton, Csaba Szepesvari, Zheng Wen and Azin Ashkan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


From Word Embeddings To Document Distances
Matt Kusner, Yu Sun, Nicholas Kolkin and Kilian Q. Weinberger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Differentially Private Bayesian Optimization
Matt Kusner, Jacob Gardner, Roman Garnett and Kilian Q. Weinberger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Attribute Efficient Linear Regression with Distribution-Dependent Sampling
Doron Kukliansky and Ohad Shamir
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Hedge Algorithm on a Continuum
Walid Krichene, Maximilian Balandat, Claire Tomlin and Alexandre Bayen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
Nathaniel Korda and Prashanth La
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays
Junpei Komiyama, Junya Honda and Hiroshi Nakagawa
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Manifold-valued Dirichlet Processes
Hyunwoo Kim, Jia Xu, Baba Vemuri and Vikas Singh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Surrogate Functions for Maximizing Precision at the Top
Purushottam Kar, Harikrishna Narasimhan and Prateek Jain
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Asymmetric Transfer Learning with Deep Gaussian Processes
Melih Kandemir
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


High Dimensional Bayesian Optimisation and Bandits via Additive Models
Kirthevasan Kandasamy, Jeff Schneider and Barnabas Poczos
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Composition Theorem for Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Empirical Exploration of Recurrent Network Architectures
Rafal Jozefowicz, Wojciech Zaremba and Ilya Sutskever
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
Tyler Johnson and Carlos Guestrin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Kendall and Mallows Kernels for Permutations
Yunlong Jiao and Jean-philippe Vert
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Abstraction Selection in Model-based Reinforcement Learning
Nan Jiang, Alex Kulesza and Satinder Singh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Atomic Spatial Processes
Sean Jewell, Neil Spencer and Alexandre Bouchard-côté
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Fast Variational Approach for Learning Markov Random Field Language Models
Yacine Jernite, Alexander Rush and David Sontag
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Faster cover trees
Mike Izbicki and Christian Shelton
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe and Christian Szegedy
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Risk and Regret of Hierarchical Bayesian Learners
Jonathan Huggins and Josh Tenenbaum
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes
Jonathan Huggins, Karthik Narasimhan, Ardavan Saeedi and Vikash Mansinghka
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Deterministic Independent Component Analysis
Ruitong Huang, Andras Gyorgy and Csaba Szepesvári
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Zhiwu Huang, Ruiping Wang, Shiguang Shan, Xianqiu Li and Xilin Chen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey and Eric Xing
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


PU Learning for Matrix Completion
Cho-jui Hsieh, Nagarajan Natarajan and Inderjit Dhillon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent
Cho-jui Hsieh, Hsiang-fu Yu and Inderjit Dhillon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong, Tackgeun You, Suha Kwak and Bohyung Han
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data
Toby Hocking, Guillem Rigaill and Guillaume Bourque
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data
Trong N. Hoang, Quang M. Hoang and Bryan Low
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fictitious Self-Play in Extensive-Form Games
Johannes Heinrich, Marc Lanctot and David Silver
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Nearly-Linear Time Framework for Graph-Structured Sparsity
Chinmay Hegde, Piotr Indyk and Ludwig Schmidt
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Classification with Low Rank and Missing Data
Elad Hazan, Roi Livni and Yishay Mansour
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Kohei Hayashi, Shin-ichi Maeda and Ryohei Fujimaki
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Consistent estimation of dynamic and multi-layer block models
Qiuyi Han, Kevin Xu and Edoardo Airoldi
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Cheap Bandits
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko and Remi Munos
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Large-scale log-determinant computation through stochastic Chebyshev expansions
Insu Han, Dmitry Malioutov and Jinwoo Shin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Off-policy Model-based Learning under Unknown Factored Dynamics
Assaf Hallak, Francois Schnitzler, Timothy Mann and Shie Mannor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Deep Learning with Limited Numerical Precision
Suyog Gupta, Ankur Agrawal, Kailash Gopalakrishnan and Pritish Narayanan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Moderated and Drifting Linear Dynamical Systems
Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton Morrison, Emily Butler and Kobus Barnard
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A New Generalized Error Path Algorithm for Model Selection
Bin Gu and Charles Ling
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix
Roger Grosse and Ruslan Salakhudinov
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende and Daan Wierstra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


BilBOWA: Fast Bilingual Distributed Representations without Word Alignments
Stephan Gouws, Yoshua Bengio and Greg Corrado
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Discovering Temporal Causal Relations from Subsampled Data
Mingming Gong, Kun Zhang, Bernhard Schoelkopf, Dacheng Tao and Philipp Geiger
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
Pinghua Gong and Jieping Ye
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Hidden Markov Anomaly Detection
Nico Goernitz, Mikio Braun and Marius Kloft
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


How Hard is Inference for Structured Prediction?
Amir Globerson, Tim Roughgarden, David Sontag and Cafer Yildirim
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction
Sébastien Giguère, Amélie Rolland, Francois Laviolette and Mario Marchand
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning
Debarghya Ghoshdastidar and Ambedkar Dukkipati
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray and Hugo Larochelle
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
Philipp Geiger, Kun Zhang, Bernhard Schoelkopf, Mingming Gong and Dominik Janzing
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Intersecting Faces: Non-negative Matrix Factorization With New Guarantees
Rong Ge and James Zou
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Inference for Dirichlet Process Mixture Models
Hong Ge, Yutian Chen, Moquan Wan and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property
Maxime Gasse, Alexandre Aussem and Haytham Elghazel
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Finding Galaxies in the Shadows of Quasars with Gaussian Processes
Roman Garnett, Shirley Ho and Jeff Schneider
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Online Learning of Eigenvectors
Dan Garber, Elad Hazan and Tengyu Ma
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Faster Rates for the Frank-Wolfe Method over Strongly-Convex Sets
Dan Garber and Elad Hazan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin and Victor Lempitsky
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao, David Carlson and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs
Yarin Gal and Richard Turner
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
Yarin Gal, Yutian Chen and Zoubin Ghahramani
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits
Pratik Gajane, Tanguy Urvoy and Fabrice Clérot
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Roy Frostig, Rong Ge, Sham Kakade and Aaron Sidford
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
James Foulds, Shachi Kumar and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch and Alex Smola
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE)
Maurizio Filippone and Raphael Engler
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Local Invariant Mahalanobis Distances
Ethan Fetaya and Shimon Ullman
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort and Joseph Salmon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Alina Ene and Huy Nguyen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Dealing with small data: On the generalization of context trees
Ralf Eggeling, Mikko Koivisto and Ivo Grosse
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Scalable Variational Inference in Log-supermodular Models
Josip Djolonga and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup
Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi and Todd Mytkowicz
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Distributed Gaussian Processes
Marc Deisenroth and Jun W. Ng
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Ordered Stick-Breaking Prior for Sequential MCMC Inference of Bayesian Nonparametric Models
Mrinal Das, Trapit Bansal and Chiranjib Bhattacharyya
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Strongly Adaptive Online Learning
Amit Daniely, Alon Gonen and Shai Shalev-shwartz
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Dual Coordinate Ascent with Adaptive Probabilities
Dominik Csiba, Zheng Qu and Peter Richtarik
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Structural Maxent Models
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri and Umar Syed
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Harmonic Exponential Families on Manifolds
Taco Cohen and Max Welling
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Following the Perturbed Leader for Online Structured Learning
Alon Cohen and Tamir Hazan
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Training Deep Convolutional Neural Networks to Play Go
Christopher Clark and Amos Storkey
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Convex Learning of Multiple Tasks and their Structure
Carlo Ciliberto, Youssef Mroueh, Tomaso Poggio and Lorenzo Rosasco
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Gated Feedback Recurrent Neural Networks
Junyoung Chung, Caglar Gulcehre, Kyunghyun Cho and Yoshua Bengio
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Compressing Neural Networks with the Hashing Trick
Wenlin Chen, James Wilson, Stephen Tyree, Kilian Q. Weinberger and Yixin Chen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning Deep Structured Models
Liang-chieh Chen, Alexander Schwing, Alan Yuille and Raquel Urtasun
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen and Changho Suh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Subsampling Methods for Persistent Homology
Frederic Chazal, Brittany Fasy, Fabrizio Lecci, Bertrand Michel, Alessandro Rinaldo and Larry Wasserman
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Exponential Integration for Hamiltonian Monte Carlo
Wei-lun Chao, Justin Solomon, Dominik Michels and Fei Sha
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Learning to Search Better than Your Teacher
Kai-wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daume and John Langford
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing and Yaoliang Yu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Simple regret for infinitely many armed bandits
Alexandra Carpentier and Michal Valko
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Spectral Clustering via the Power Method - Provably
Christos Boutsidis, Prabhanjan Kambadur and Alex Gittens
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A low variance consistent test of relative dependency
Wacha Bounliphone, Arthur Gretton, Arthur Tenenhaus and Matthew Blaschko
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Weight Uncertainty in Neural Network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu and Daan Wierstra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Ladder: A Reliable Leaderboard for Machine Learning Competitions
Avrim Blum and Moritz Hardt
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains
Katharina Blechschmidt, Joachim Giesen and Soeren Laue
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Optimal and Adaptive Algorithms for Online Boosting
Alina Beygelzimer, Satyen Kale and Haipeng Luo
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Fundamental Incompatibility of Scalable Hamiltonian Monte Carlo and Naive Data Subsampling
Michael Betancourt
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Active Nearest Neighbors in Changing Environments
Christopher Berlind and Ruth Urner
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Bayesian nonparametric procedure for comparing algorithms
Alessio Benavoli, Giorgio Corani, Francesca Mangili and Marco Zaffalon
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Linear Dynamical System Model for Text
David Belanger and Sham Kakade
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


The Power of Randomization: Distributed Submodular Maximization on Massive Datasets
Rafael Barbosa, Alina Ene, Huy Nguyen and Justin Ward
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Aligned Subtree Kernel for Weighted Graphs
Lu Bai, Luca Rossi, Zhihong Zhang and Edwin Hancock
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Functional Subspace Clustering with Application to Time Series
Mohammad T. Bahadori, David Kale, Yingying Fan and Yan Liu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Variational Generative Stochastic Networks with Collaborative Shaping
Philip Bachman and Doina Precup
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Coresets for Nonparametric Estimation - the Case of DP-Means
Olivier Bachem, Mario Lucic and Andreas Krause
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
Stephen Bach, Bert Huang, Jordan Boyd-graber and Lise Getoor
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
Necdet Aybat, Zi Wang and Garud Iyengar
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Community Detection Using Time-Dependent Personalized PageRank
Haim Avron and Lior Horesh
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stay on path: PCA along graph paths
Megasthenis Asteris, Anastasios Kyrillidis, Alex Dimakis, Han-gyol Yi and Bharath Chandrasekaran
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Online Time Series Prediction with Missing Data
Oren Anava, Elad Hazan and Assaf Zeevi
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?
Senjian An, Farid Boussaid and Mohammed Bennamoun
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
Haitham B. Ammar, Rasul Tutunov and Eric Eaton
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Multiview Triplet Embedding: Learning Attributes in Multiple Maps
Ehsan Amid and Antti Ukkonen
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Bimodal Modelling of Source Code and Natural Language
Miltos Allamanis, Daniel Tarlow, Andrew Gordon and Yi Wei
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Correlation Clustering in Data Streams
Kookjin Ahn, Graham Cormode, Sudipto Guha, Andrew Mcgregor and Anthony Wirth
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


A Lower Bound for the Optimization of Finite Sums
Alekh Agarwal and Leon Bottou
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
Theodoros Tsiligkaridis, Theodoros Tsiligkaridis and Keith Forsythe
Advances in Neural Information Processing Systems 28, 2015


Fast Rates for Exp-concave Empirical Risk Minimization
Tomer Koren and Kfir Levy
Advances in Neural Information Processing Systems 28, 2015


Online Learning with Gaussian Payoffs and Side Observations
Yifan Wu, András György and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


The Pareto Regret Frontier for Bandits
Tor Lattimore
Advances in Neural Information Processing Systems 28, 2015


Asynchronous stochastic convex optimization: the noise is in the noise and SGD don\textquotesingle t care
Sorathan Chaturapruek, John C. Duchi and Christopher Ré
Advances in Neural Information Processing Systems 28, 2015


Fighting Bandits with a New Kind of Smoothness
Jacob D. Abernethy, Chansoo Lee and Ambuj Tewari
Advances in Neural Information Processing Systems 28, 2015


Cornering Stationary and Restless Mixing Bandits with Remix-UCB
Julien Audiffren and Liva Ralaivola
Advances in Neural Information Processing Systems 28, 2015


Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
Ruoyu Sun and Mingyi Hong
Advances in Neural Information Processing Systems 28, 2015


On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs
Wei Cao, Jian Li, Yufei Tao and Zhize Li
Advances in Neural Information Processing Systems 28, 2015


Revenue Optimization against Strategic Buyers
Mehryar Mohri and Andres Munoz
Advances in Neural Information Processing Systems 28, 2015


Online Learning for Adversaries with Memory: Price of Past Mistakes
Oren Anava, Elad Hazan and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
Junpei Komiyama, Junya Honda and Hiroshi Nakagawa
Advances in Neural Information Processing Systems 28, 2015


Copeland Dueling Bandits
Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson and Maarten D. Rijke
Advances in Neural Information Processing Systems 28, 2015


Unified View of Matrix Completion under General Structural Constraints
Suriya Gunasekar, Arindam Banerjee and Joydeep Ghosh
Advances in Neural Information Processing Systems 28, 2015


Efficient Compressive Phase Retrieval with Constrained Sensing Vectors
Sohail Bahmani and Justin Romberg
Advances in Neural Information Processing Systems 28, 2015


Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
Daniel J. Hsu, Aryeh Kontorovich and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Algorithmic Stability and Uniform Generalization
Ibrahim M. Alabdulmohsin
Advances in Neural Information Processing Systems 28, 2015


Analysis of Robust PCA via Local Incoherence
Huishuai Zhang, Yi Zhou and Yingbin Liang
Advances in Neural Information Processing Systems 28, 2015


Sparse and Low-Rank Tensor Decomposition
Parikshit Shah, Nikhil Rao and Gongguo Tang
Advances in Neural Information Processing Systems 28, 2015


No-Regret Learning in Bayesian Games
Jason Hartline, Vasilis Syrgkanis and Eva Tardos
Advances in Neural Information Processing Systems 28, 2015


Learning with Incremental Iterative Regularization
Lorenzo Rosasco and Silvia Villa
Advances in Neural Information Processing Systems 28, 2015


Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor and Marco Pavone
Advances in Neural Information Processing Systems 28, 2015


Optimal Linear Estimation under Unknown Nonlinear Transform
Xinyang Yi, Zhaoran Wang, Constantine Caramanis and Han Liu
Advances in Neural Information Processing Systems 28, 2015


Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Urun Dogan, Alexander Binder and Marius Kloft
Advances in Neural Information Processing Systems 28, 2015


Column Selection via Adaptive Sampling
Saurabh Paul, Malik Magdon-ismail and Petros Drineas
Advances in Neural Information Processing Systems 28, 2015


Robust Regression via Hard Thresholding
Kush Bhatia, Prateek Jain and Purushottam Kar
Advances in Neural Information Processing Systems 28, 2015


From random walks to distances on unweighted graphs
Tatsunori Hashimoto, Yi Sun and Tommi Jaakkola
Advances in Neural Information Processing Systems 28, 2015


Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
Huasen Wu, R. Srikant, Xin Liu and Chong Jiang
Advances in Neural Information Processing Systems 28, 2015


Lifelong Learning with Non-i.i.d. Tasks
Anastasia Pentina and Christoph H. Lampert
Advances in Neural Information Processing Systems 28, 2015


Learning structured densities via infinite dimensional exponential families
Siqi Sun, Mladen Kolar and Jinbo Xu
Advances in Neural Information Processing Systems 28, 2015


Adaptive Stochastic Optimization: From Sets to Paths
Zhan W. Lim, David Hsu and Wee S. Lee
Advances in Neural Information Processing Systems 28, 2015


Secure Multi-party Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Advances in Neural Information Processing Systems 28, 2015


Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number
Janne H. Korhonen and Pekka Parviainen
Advances in Neural Information Processing Systems 28, 2015


Smooth Interactive Submodular Set Cover
Bryan D. He and Yisong Yue
Advances in Neural Information Processing Systems 28, 2015


On the Optimality of Classifier Chain for Multi-label Classification
Weiwei Liu and Ivor Tsang
Advances in Neural Information Processing Systems 28, 2015


Predtron: A Family of Online Algorithms for General Prediction Problems
Prateek Jain, Nagarajan Natarajan and Ambuj Tewari
Advances in Neural Information Processing Systems 28, 2015


Fast Classification Rates for High-dimensional Gaussian Generative Models
Tianyang Li, Adarsh Prasad and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Orthogonal NMF through Subspace Exploration
Megasthenis Asteris, Dimitris Papailiopoulos and Alexandros G. Dimakis
Advances in Neural Information Processing Systems 28, 2015


Fast Distributed k-Center Clustering with Outliers on Massive Data
Gustavo Malkomes, Matt J. Kusner, Wenlin Chen, Kilian Q. Weinberger and Benjamin Moseley
Advances in Neural Information Processing Systems 28, 2015


Optimal Ridge Detection using Coverage Risk
Yen-chi Chen, Christopher R. Genovese, Shirley Ho and Larry Wasserman
Advances in Neural Information Processing Systems 28, 2015


A Market Framework for Eliciting Private Data
Bo Waggoner, Rafael Frongillo and Jacob D. Abernethy
Advances in Neural Information Processing Systems 28, 2015


Online F-Measure Optimization
Róbert Busa-fekete, Balázs Szörényi, Krzysztof Dembczynski and Eyke Hüllermeier
Advances in Neural Information Processing Systems 28, 2015


Generalization in Adaptive Data Analysis and Holdout Reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toni Pitassi, Omer Reingold and Aaron Roth
Advances in Neural Information Processing Systems 28, 2015


Compressive spectral embedding: sidestepping the SVD
Dinesh Ramasamy and Upamanyu Madhow
Advances in Neural Information Processing Systems 28, 2015


Differentially private subspace clustering
Yining Wang, Yu-xiang Wang and Aarti Singh
Advances in Neural Information Processing Systems 28, 2015


A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
James R. Voss, Mikhail Belkin and Luis Rademacher
Advances in Neural Information Processing Systems 28, 2015


Learnability of Influence in Networks
Harikrishna Narasimhan, David C. Parkes and Yaron Singer
Advances in Neural Information Processing Systems 28, 2015


Active Learning from Weak and Strong Labelers
Chicheng Zhang and Kamalika Chaudhuri
Advances in Neural Information Processing Systems 28, 2015


Fast Lifted MAP Inference via Partitioning
Somdeb Sarkhel, Parag Singla and Vibhav G. Gogate
Advances in Neural Information Processing Systems 28, 2015


Parallelizing MCMC with Random Partition Trees
Xiangyu Wang, Fangjian Guo, Katherine A. Heller and David B. Dunson
Advances in Neural Information Processing Systems 28, 2015


Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
Jaya Kawale, Hung H. Bui, Branislav Kveton, Long Tran-thanh and Sanjay Chawla
Advances in Neural Information Processing Systems 28, 2015


Sample Efficient Path Integral Control under Uncertainty
Yunpeng Pan, Evangelos Theodorou and Michail Kontitsis
Advances in Neural Information Processing Systems 28, 2015


Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach
Wenye Li
Advances in Neural Information Processing Systems 28, 2015


Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
Joseph Wang, Kirill Trapeznikov and Venkatesh Saligrama
Advances in Neural Information Processing Systems 28, 2015


Bounding the Cost of Search-Based Lifted Inference
David B. Smith and Vibhav G. Gogate
Advances in Neural Information Processing Systems 28, 2015


Parallel Recursive Best-First AND/OR Search for Exact MAP Inference in Graphical Models
Akihiro Kishimoto, Radu Marinescu and Adi Botea
Advances in Neural Information Processing Systems 28, 2015


Time-Sensitive Recommendation From Recurrent User Activities
Nan Du, Yichen Wang, Niao He, Jimeng Sun and Le Song
Advances in Neural Information Processing Systems 28, 2015


Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler and Amos J. Storkey
Advances in Neural Information Processing Systems 28, 2015


M-Best-Diverse Labelings for Submodular Energies and Beyond
Alexander Kirillov, Dmytro Shlezinger, Dmitry P. Vetrov, Carsten Rother and Bogdan Savchynskyy
Advances in Neural Information Processing Systems 28, 2015


Max-Margin Majority Voting for Learning from Crowds
Tian Tian and Jun Zhu
Advances in Neural Information Processing Systems 28, 2015


Discriminative Robust Transformation Learning
Jiaji Huang, Qiang Qiu, Guillermo Sapiro and Robert Calderbank
Advances in Neural Information Processing Systems 28, 2015


Local Causal Discovery of Direct Causes and Effects
Tian Gao and Qiang Ji
Advances in Neural Information Processing Systems 28, 2015


Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)
Mijung Park, Wittawat Jitkrittum, Ahmad Qamar, Zoltan Szabo, Lars Buesing and Maneesh Sahani
Advances in Neural Information Processing Systems 28, 2015


A fast, universal algorithm to learn parametric nonlinear embeddings
Miguel A. Carreira-perpinan and Max Vladymyrov
Advances in Neural Information Processing Systems 28, 2015


Space-Time Local Embeddings
Ke Sun, Jun Wang, Alexandros Kalousis and Stephane Marchand-maillet
Advances in Neural Information Processing Systems 28, 2015


Robust Spectral Inference for Joint Stochastic Matrix Factorization
Moontae Lee, David Bindel and David Mimno
Advances in Neural Information Processing Systems 28, 2015


Sparse Local Embeddings for Extreme Multi-label Classification
Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma and Prateek Jain
Advances in Neural Information Processing Systems 28, 2015


Particle Gibbs for Infinite Hidden Markov Models
Nilesh Tripuraneni, Shixiang Gu, Hong Ge and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song and Li Deng
Advances in Neural Information Processing Systems 28, 2015


GP Kernels for Cross-Spectrum Analysis
Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Bayesian dark knowledge
Anoop K. Balan, Vivek Rathod, Kevin P. Murphy and Max Welling
Advances in Neural Information Processing Systems 28, 2015


Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Manuel Watter, Jost Springenberg, Joschka Boedecker and Martin Riedmiller
Advances in Neural Information Processing Systems 28, 2015


Rectified Factor Networks
Djork-arné Clevert, Andreas Mayr, Thomas Unterthiner and Sepp Hochreiter
Advances in Neural Information Processing Systems 28, 2015


Convolutional spike-triggered covariance analysis for neural subunit models
Anqi Wu, Il M. Park and Jonathan W. Pillow
Advances in Neural Information Processing Systems 28, 2015


Neural Adaptive Sequential Monte Carlo
Shixiang Gu, Zoubin Ghahramani and Richard E. Turner
Advances in Neural Information Processing Systems 28, 2015


A Gaussian Process Model of Quasar Spectral Energy Distributions
Andrew Miller, Albert Wu, Jeff Regier, Jon Mcauliffe, Dustin Lang, Mr. Prabhat, David Schlegel and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada and Takeshi Yamada
Advances in Neural Information Processing Systems 28, 2015


Max-Margin Deep Generative Models
Chongxuan Li, Jun Zhu, Tianlin Shi and Bo Zhang
Advances in Neural Information Processing Systems 28, 2015


Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction
Been Kim, Julie A. Shah and Finale Doshi-velez
Advances in Neural Information Processing Systems 28, 2015


Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly and Noam Shazeer
Advances in Neural Information Processing Systems 28, 2015


Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-yan Yeung, Wai-kin Wong and Wang-chun Woo
Advances in Neural Information Processing Systems 28, 2015


Convolutional Networks on Graphs for Learning Molecular Fingerprints
David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alan Aspuru-guzik and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Natural Neural Networks
Guillaume Desjardins, Karen Simonyan, Razvan Pascanu and Koray Kavukcuoglu
Advances in Neural Information Processing Systems 28, 2015


Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass
Advances in Neural Information Processing Systems 28, 2015


Learning to Linearize Under Uncertainty
Ross Goroshin, Michael F. Mathieu and Yann Lecun
Advances in Neural Information Processing Systems 28, 2015


Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan R. Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba and Sanja Fidler
Advances in Neural Information Processing Systems 28, 2015


Semi-supervised Sequence Learning
Andrew M. Dai and Quoc V. Le
Advances in Neural Information Processing Systems 28, 2015


Enforcing balance allows local supervised learning in spiking recurrent networks
Ralph Bourdoukan and Sophie Den\`eve
Advances in Neural Information Processing Systems 28, 2015


Semi-supervised Learning with Ladder Networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola and Tapani Raiko
Advances in Neural Information Processing Systems 28, 2015


Saliency, Scale and Information: Towards a Unifying Theory
Shafin Rahman and Neil Bruce
Advances in Neural Information Processing Systems 28, 2015


Teaching Machines to Read and Comprehend
Karl M. Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil Blunsom
Advances in Neural Information Processing Systems 28, 2015


Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-yu Tung, Alex J. Smola and Anima Anandkumar
Advances in Neural Information Processing Systems 28, 2015


Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Yu and Sanjiv Kumar
Advances in Neural Information Processing Systems 28, 2015


Scalable Semi-Supervised Aggregation of Classifiers
Akshay Balsubramani and Yoav Freund
Advances in Neural Information Processing Systems 28, 2015


Learning with Symmetric Label Noise: The Importance of Being Unhinged
Brendan V. Rooyen, Aditya Menon and Robert C. Williamson
Advances in Neural Information Processing Systems 28, 2015


Matrix Completion with Noisy Side Information
Kai-yang Chiang, Cho-jui Hsieh and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Efficient and Parsimonious Agnostic Active Learning
Tzu-kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford and Robert E. Schapire
Advances in Neural Information Processing Systems 28, 2015


Collaborative Filtering with Graph Information: Consistency and Scalable Methods
Nikhil Rao, Hsiang-fu Yu, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Logarithmic Time Online Multiclass prediction
Anna E. Choromanska and John Langford
Advances in Neural Information Processing Systems 28, 2015


Less is More: Nystr\"{o}m Computational Regularization
Alessandro Rudi, Raffaello Camoriano and Lorenzo Rosasco
Advances in Neural Information Processing Systems 28, 2015


Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Finite-Time Analysis of Projected Langevin Monte Carlo
Sebastien Bubeck, Ronen Eldan and Joseph Lehec
Advances in Neural Information Processing Systems 28, 2015


On the consistency theory of high dimensional variable screening
Xiangyu Wang, Chenlei Leng and David B. Dunson
Advances in Neural Information Processing Systems 28, 2015


Exactness of Approximate MAP Inference in Continuous MRFs
Nicholas Ruozzi
Advances in Neural Information Processing Systems 28, 2015


Linear Multi-Resource Allocation with Semi-Bandit Feedback
Tor Lattimore, Koby Crammer and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Stochastic Online Greedy Learning with Semi-bandit Feedbacks
Tian Lin, Jian Li and Wei Chen
Advances in Neural Information Processing Systems 28, 2015


Fast and Memory Optimal Low-Rank Matrix Approximation
Se-young Yun, Marc Lelarge and Alexandre Proutiere
Advances in Neural Information Processing Systems 28, 2015


A Universal Catalyst for First-Order Optimization
Hongzhou Lin, Julien Mairal and Zaid Harchaoui
Advances in Neural Information Processing Systems 28, 2015


A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
Tasuku Soma and Yuichi Yoshida
Advances in Neural Information Processing Systems 28, 2015


Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
Zheng Qu, Peter Richtarik and Tong Zhang
Advances in Neural Information Processing Systems 28, 2015


On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-julien and Martin Jaggi
Advances in Neural Information Processing Systems 28, 2015


A Dual Augmented Block Minimization Framework for Learning with Limited Memory
Ian E. Yen, Shan-wei Lin and Shou-de Lin
Advances in Neural Information Processing Systems 28, 2015


Policy Gradient for Coherent Risk Measures
Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


When are Kalman-Filter Restless Bandits Indexable?
Christopher R. Dance and Tomi Silander
Advances in Neural Information Processing Systems 28, 2015


Convergence Rates of Active Learning for Maximum Likelihood Estimation
Kamalika Chaudhuri, Sham M. Kakade, Praneeth Netrapalli and Sujay Sanghavi
Advances in Neural Information Processing Systems 28, 2015


Non-convex Statistical Optimization for Sparse Tensor Graphical Model
Wei Sun, Zhaoran Wang, Han Liu and Guang Cheng
Advances in Neural Information Processing Systems 28, 2015


Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-julien and Brian Mcwilliams
Advances in Neural Information Processing Systems 28, 2015


Convergence rates of sub-sampled Newton methods
Murat A. Erdogdu and Andrea Montanari
Advances in Neural Information Processing Systems 28, 2015


Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent
Ian E. Yen, Kai Zhong, Cho-jui Hsieh, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Matrix Completion Under Monotonic Single Index Models
Ravi S. Ganti, Laura Balzano and Rebecca Willett
Advances in Neural Information Processing Systems 28, 2015


Associative Memory via a Sparse Recovery Model
Arya Mazumdar and Ankit S. Rawat
Advances in Neural Information Processing Systems 28, 2015


High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang, Quanquan Gu, Yang Ning and Han Liu
Advances in Neural Information Processing Systems 28, 2015


Local Smoothness in Variance Reduced Optimization
Daniel Vainsencher, Han Liu and Tong Zhang
Advances in Neural Information Processing Systems 28, 2015


Bounding errors of Expectation-Propagation
Guillaume P. Dehaene and Simon Barthelmé
Advances in Neural Information Processing Systems 28, 2015


Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman and James M. Robins
Advances in Neural Information Processing Systems 28, 2015


Regret-Based Pruning in Extensive-Form Games
Noam Brown and Tuomas Sandholm
Advances in Neural Information Processing Systems 28, 2015


Learning Causal Graphs with Small Interventions
Karthikeyan Shanmugam, Murat Kocaoglu, Alexandros G. Dimakis and Sriram Vishwanath
Advances in Neural Information Processing Systems 28, 2015


Testing Closeness With Unequal Sized Samples
Bhaswar Bhattacharya and Gregory Valiant
Advances in Neural Information Processing Systems 28, 2015


Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
Justin Domke
Advances in Neural Information Processing Systems 28, 2015


Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
Emmanuel Abbe and Colin Sandon
Advances in Neural Information Processing Systems 28, 2015


Approximating Sparse PCA from Incomplete Data
Abhisek Kundu, Petros Drineas and Malik Magdon-ismail
Advances in Neural Information Processing Systems 28, 2015


Segregated Graphs and Marginals of Chain Graph Models
Ilya Shpitser
Advances in Neural Information Processing Systems 28, 2015


Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach
Balázs Szörényi, Róbert Busa-fekete, Adil Paul and Eyke Hüllermeier
Advances in Neural Information Processing Systems 28, 2015


Weighted Theta Functions and Embeddings with Applications to Max-Cut, Clustering and Summarization
Fredrik D. Johansson, Ankani Chattoraj, Chiranjib Bhattacharyya and Devdatt Dubhashi
Advances in Neural Information Processing Systems 28, 2015


Sparse PCA via Bipartite Matchings
Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis and Alexandros G. Dimakis
Advances in Neural Information Processing Systems 28, 2015


Lifted Inference Rules With Constraints
Happy Mittal, Anuj Mahajan, Vibhav G. Gogate and Parag Singla
Advances in Neural Information Processing Systems 28, 2015


Gradient Estimation Using Stochastic Computation Graphs
John Schulman, Nicolas Heess, Theophane Weber and Pieter Abbeel
Advances in Neural Information Processing Systems 28, 2015


Efficient Output Kernel Learning for Multiple Tasks
Pratik Jawanpuria, Maksim Lapin, Matthias Hein and Bernt Schiele
Advances in Neural Information Processing Systems 28, 2015


Streaming Min-max Hypergraph Partitioning
Dan Alistarh, Jennifer Iglesias and Milan Vojnovic
Advances in Neural Information Processing Systems 28, 2015


Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring
Gunwoong Park and Garvesh Raskutti
Advances in Neural Information Processing Systems 28, 2015


Kullback-Leibler Proximal Variational Inference
Mohammad E. Khan, Pierre Baque, Françcois Fleuret and Pascal Fua
Advances in Neural Information Processing Systems 28, 2015


Principal Differences Analysis: Interpretable Characterization of Differences between Distributions
Jonas W. Mueller and Tommi Jaakkola
Advances in Neural Information Processing Systems 28, 2015


Practical and Optimal LSH for Angular Distance
Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn and Ludwig Schmidt
Advances in Neural Information Processing Systems 28, 2015


Barrier Frank-Wolfe for Marginal Inference
Rahul G. Krishnan, Simon Lacoste-julien and David Sontag
Advances in Neural Information Processing Systems 28, 2015


A Complete Recipe for Stochastic Gradient MCMC
Yi-an Ma, Tianqi Chen and Emily Fox
Advances in Neural Information Processing Systems 28, 2015


Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltan Szabo and Arthur Gretton
Advances in Neural Information Processing Systems 28, 2015


Softstar: Heuristic-Guided Probabilistic Inference
Mathew Monfort, Brenden M. Lake, Brenden M. Lake, Brian Ziebart, Patrick Lucey and Josh Tenenbaum
Advances in Neural Information Processing Systems 28, 2015


Variational Consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino and Michael I. Jordan
Advances in Neural Information Processing Systems 28, 2015


Statistical Topological Data Analysis - A Kernel Perspective
Roland Kwitt, Stefan Huber, Marc Niethammer, Weili Lin and Ulrich Bauer
Advances in Neural Information Processing Systems 28, 2015


Efficient Non-greedy Optimization of Decision Trees
Mohammad Norouzi, Maxwell Collins, Matthew A. Johnson, David J. Fleet and Pushmeet Kohli
Advances in Neural Information Processing Systems 28, 2015


A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan and Dmitri Chklovskii
Advances in Neural Information Processing Systems 28, 2015


Is Approval Voting Optimal Given Approval Votes?
Ariel D. Procaccia and Nisarg Shah
Advances in Neural Information Processing Systems 28, 2015


Consistent Multilabel Classification
Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Inverse Reinforcement Learning with Locally Consistent Reward Functions
Quoc P. Nguyen, Bryan Low and Patrick Jaillet
Advances in Neural Information Processing Systems 28, 2015


Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference
Ted Meeds and Max Welling
Advances in Neural Information Processing Systems 28, 2015


A Structural Smoothing Framework For Robust Graph Comparison
Pinar Yanardag and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 28, 2015


Spectral Learning of Large Structured HMMs for Comparative Epigenomics
Chicheng Zhang, Jimin Song, Kamalika Chaudhuri and Kevin Chen
Advances in Neural Information Processing Systems 28, 2015


Human Memory Search as Initial-Visit Emitting Random Walk
Kwang-sung Jun, Xiaojin Zhu, Timothy T. Rogers, Zhuoran Yang and Ming Yuan
Advances in Neural Information Processing Systems 28, 2015


Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I. Inouye, Pradeep K. Ravikumar and Inderjit S. Dhillon
Advances in Neural Information Processing Systems 28, 2015


Streaming, Distributed Variational Inference for Bayesian Nonparametrics
Trevor Campbell, Julian Straub, John Iii and Jonathan P. How
Advances in Neural Information Processing Systems 28, 2015


MCMC for Variationally Sparse Gaussian Processes
James Hensman, Alexander G. Matthews, Maurizio Filippone and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Gaussian Process Random Fields
David Moore and Stuart J. Russell
Advances in Neural Information Processing Systems 28, 2015


A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
Peter Schulam and Suchi Saria
Advances in Neural Information Processing Systems 28, 2015


Efficient and Robust Automated Machine Learning
Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum and Frank Hutter
Advances in Neural Information Processing Systems 28, 2015


Bayesian Active Model Selection with an Application to Automated Audiometry
Jacob Gardner, Gustavo Malkomes, Roman Garnett, Kilian Q. Weinberger, Dennis Barbour and John P. Cunningham
Advances in Neural Information Processing Systems 28, 2015


Equilibrated adaptive learning rates for non-convex optimization
Yann Dauphin, Harm D. Vries and Yoshua Bengio
Advances in Neural Information Processing Systems 28, 2015


Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani, Tara Sainath and Sanjiv Kumar
Advances in Neural Information Processing Systems 28, 2015


NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning
Kevin G. Jamieson, Lalit Jain, Chris Fernandez, Nicholas J. Glattard and Rob Nowak
Advances in Neural Information Processing Systems 28, 2015


Precision-Recall-Gain Curves: PR Analysis Done Right
Peter Flach and Meelis Kull
Advances in Neural Information Processing Systems 28, 2015


Pointer Networks
Oriol Vinyals, Meire Fortunato and Navdeep Jaitly
Advances in Neural Information Processing Systems 28, 2015


Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets
Pascal Vincent, Alexandre D. Brébisson and Xavier Bouthillier
Advances in Neural Information Processing Systems 28, 2015


Color Constancy by Learning to Predict Chromaticity from Luminance
Ayan Chakrabarti
Advances in Neural Information Processing Systems 28, 2015


A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding
Yuval Harel, Ron Meir and Manfred Opper
Advances in Neural Information Processing Systems 28, 2015


Backpropagation for Energy-Efficient Neuromorphic Computing
Steve K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur and Dharmendra S. Modha
Advances in Neural Information Processing Systems 28, 2015


Learning Wake-Sleep Recurrent Attention Models
Jimmy Ba, Ruslan R. Salakhutdinov, Roger B. Grosse and Brendan J. Frey
Advances in Neural Information Processing Systems 28, 2015


On-the-Job Learning with Bayesian Decision Theory
Keenon Werling, Arun T. Chaganty, Percy S. Liang and Christopher D. Manning
Advances in Neural Information Processing Systems 28, 2015


Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L. Lewis and Satinder Singh
Advances in Neural Information Processing Systems 28, 2015


Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong, Hyeonwoo Noh and Bohyung Han
Advances in Neural Information Processing Systems 28, 2015


Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Armand Joulin and Tomas Mikolov
Advances in Neural Information Processing Systems 28, 2015


Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze\textendash like Environments
Dane S. Corneil and Wulfram Gerstner
Advances in Neural Information Processing Systems 28, 2015


A Reduced-Dimension fMRI Shared Response Model
Po-hsuan (. Chen, Janice Chen, Yaara Yeshurun, Uri Hasson, James Haxby and Peter J. Ramadge
Advances in Neural Information Processing Systems 28, 2015


Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman and Koray Kavukcuoglu
Advances in Neural Information Processing Systems 28, 2015


The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors
Dan Rosenbaum and Yair Weiss
Advances in Neural Information Processing Systems 28, 2015


Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert and Piotr Dollar
Advances in Neural Information Processing Systems 28, 2015


Deep Convolutional Inverse Graphics Network
Tejas D. Kulkarni, William F. Whitney, Pushmeet Kohli and Josh Tenenbaum
Advances in Neural Information Processing Systems 28, 2015


Training Very Deep Networks
Rupesh K. Srivastava, Klaus Greff and Juergen Schmidhuber
Advances in Neural Information Processing Systems 28, 2015


Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
Rie Johnson and Tong Zhang
Advances in Neural Information Processing Systems 28, 2015


Where are they looking?
Adria Recasens, Aditya Khosla, Carl Vondrick and Antonio Torralba
Advances in Neural Information Processing Systems 28, 2015


Attention-Based Models for Speech Recognition
Jan K. Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho and Yoshua Bengio
Advances in Neural Information Processing Systems 28, 2015


End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston and Rob Fergus
Advances in Neural Information Processing Systems 28, 2015


Deep Visual Analogy-Making
Scott E. Reed, Yi Zhang, Yuting Zhang and Honglak Lee
Advances in Neural Information Processing Systems 28, 2015


Adaptive Online Learning
Dylan J. Foster, Alexander Rakhlin and Karthik Sridharan
Advances in Neural Information Processing Systems 28, 2015


Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen and Peter L. Bartlett
Advances in Neural Information Processing Systems 28, 2015


Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff
Ofer Dekel, Ronen Eldan and Tomer Koren
Advances in Neural Information Processing Systems 28, 2015


Information-theoretic lower bounds for convex optimization with erroneous oracles
Yaron Singer and Jan Vondrak
Advances in Neural Information Processing Systems 28, 2015


Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
Mithun Chakraborty and Sanmay Das
Advances in Neural Information Processing Systems 28, 2015


Optimal Testing for Properties of Distributions
Jayadev Acharya, Constantinos Daskalakis and Gautam C. Kamath
Advances in Neural Information Processing Systems 28, 2015


Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection
Jie Wang and Jieping Ye
Advances in Neural Information Processing Systems 28, 2015


Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces
Takashi Takenouchi and Takafumi Kanamori
Advances in Neural Information Processing Systems 28, 2015


Learning Theory and Algorithms for Forecasting Non-stationary Time Series
Vitaly Kuznetsov and Mehryar Mohri
Advances in Neural Information Processing Systems 28, 2015


Subsampled Power Iteration: a Unified Algorithm for Block Models and Planted CSP\textquotesingle s
Vitaly Feldman, Will Perkins and Santosh Vempala
Advances in Neural Information Processing Systems 28, 2015


Structured Estimation with Atomic Norms: General Bounds and Applications
Sheng Chen and Arindam Banerjee
Advances in Neural Information Processing Systems 28, 2015


Online Learning with Adversarial Delays
Kent Quanrud and Daniel Khashabi
Advances in Neural Information Processing Systems 28, 2015


On Elicitation Complexity
Rafael Frongillo and Ian Kash
Advances in Neural Information Processing Systems 28, 2015


Combinatorial Bandits Revisited
Richard Combes, Mohammad Shahi, Alexandre Proutiere and Marc Lelarge
Advances in Neural Information Processing Systems 28, 2015


A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng and John Lafferty
Advances in Neural Information Processing Systems 28, 2015


HONOR: Hybrid Optimization for NOn-convex Regularized problems
Pinghua Gong and Jieping Ye
Advances in Neural Information Processing Systems 28, 2015


Private Graphon Estimation for Sparse Graphs
Christian Borgs, Jennifer Chayes and Adam Smith
Advances in Neural Information Processing Systems 28, 2015


Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning
Christoph Dann and Emma Brunskill
Advances in Neural Information Processing Systems 28, 2015


A Universal Primal-Dual Convex Optimization Framework
Alp Yurtsever, Quoc T. Dinh and Volkan Cevher
Advances in Neural Information Processing Systems 28, 2015


Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization
Niao He and Zaid Harchaoui
Advances in Neural Information Processing Systems 28, 2015


Fast, Provable Algorithms for Isotonic Regression in all L\_p-norms
Rasmus Kyng, Anup Rao and Sushant Sachdeva
Advances in Neural Information Processing Systems 28, 2015


Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm
Qinqing Zheng and Ryota Tomioka
Advances in Neural Information Processing Systems 28, 2015


Subset Selection by Pareto Optimization
Chao Qian, Yang Yu and Zhi-hua Zhou
Advances in Neural Information Processing Systems 28, 2015


On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos and Alex J. Smola
Advances in Neural Information Processing Systems 28, 2015


Alternating Minimization for Regression Problems with Vector-valued Outputs
Prateek Jain and Ambuj Tewari
Advances in Neural Information Processing Systems 28, 2015


SGD Algorithms based on Incomplete U-statistics: Large-Scale Minimization of Empirical Risk
Guillaume Papa, Stéphan Clémençcon and Aurélien Bellet
Advances in Neural Information Processing Systems 28, 2015


Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K. Thekumparampil and Jiaming Xu
Advances in Neural Information Processing Systems 28, 2015


Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama and Ichiro Takeuchi
Advances in Neural Information Processing Systems 28, 2015


Evaluating the statistical significance of biclusters
Jason D. Lee, Yuekai Sun and Jonathan E. Taylor
Advances in Neural Information Processing Systems 28, 2015


Fast Bidirectional Probability Estimation in Markov Models
Siddhartha Banerjee and Peter Lofgren
Advances in Neural Information Processing Systems 28, 2015


Parallel Correlation Clustering on Big Graphs
Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran and Michael I. Jordan
Advances in Neural Information Processing Systems 28, 2015


Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients
Bo Xie, Yingyu Liang and Le Song
Advances in Neural Information Processing Systems 28, 2015


Matrix Manifold Optimization for Gaussian Mixtures
Reshad Hosseini and Suvrit Sra
Advances in Neural Information Processing Systems 28, 2015


Sample Complexity of Learning Mahalanobis Distance Metrics
Nakul Verma and Kristin Branson
Advances in Neural Information Processing Systems 28, 2015


Inference for determinantal point processes without spectral knowledge
Rémi Bardenet and Michalis Titsias
Advances in Neural Information Processing Systems 28, 2015


The Consistency of Common Neighbors for Link Prediction in Stochastic Blockmodels
Purnamrita Sarkar, Deepayan Chakrabarti and Peter J. Bickel
Advances in Neural Information Processing Systems 28, 2015


Community Detection via Measure Space Embedding
Mark Kozdoba and Shie Mannor
Advances in Neural Information Processing Systems 28, 2015


Policy Evaluation Using the \Omega -Return
Philip S. Thomas, Scott Niekum, Georgios Theocharous and George Konidaris
Advances in Neural Information Processing Systems 28, 2015


On the Accuracy of Self-Normalized Log-Linear Models
Jacob Andreas, Maxim Rabinovich, Michael I. Jordan and Dan Klein
Advances in Neural Information Processing Systems 28, 2015


Large-scale probabilistic predictors with and without guarantees of validity
Vladimir Vovk, Ivan Petej and Valentina Fedorova
Advances in Neural Information Processing Systems 28, 2015


Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
Amar Shah and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Learning Bayesian Networks with Thousands of Variables
Mauro Scanagatta, Cassio Campos, Giorgio Corani and Marco Zaffalon
Advances in Neural Information Processing Systems 28, 2015


Planar Ultrametrics for Image Segmentation
Julian E. Yarkony and Charless Fowlkes
Advances in Neural Information Processing Systems 28, 2015


Reflection, Refraction, and Hamiltonian Monte Carlo
Hadi M. Afshar and Justin Domke
Advances in Neural Information Processing Systems 28, 2015


Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models
Juho Lee and Seungjin Choi
Advances in Neural Information Processing Systems 28, 2015


A hybrid sampler for Poisson-Kingman mixture models
Maria Lomeli, Stefano Favaro and Yee W. Teh
Advances in Neural Information Processing Systems 28, 2015


Learning with Group Invariant Features: A Kernel Perspective.
Youssef Mroueh, Stephen Voinea and Tomaso A. Poggio
Advances in Neural Information Processing Systems 28, 2015


Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan R. Salakhutdinov and Nati Srebro
Advances in Neural Information Processing Systems 28, 2015


Learning Continuous Control Policies by Stochastic Value Gradients
Nicolas Heess, Gregory Wayne, David Silver, Tim Lillicrap, Tom Erez and Yuval Tassa
Advances in Neural Information Processing Systems 28, 2015


Preconditioned Spectral Descent for Deep Learning
David E. Carlson, Edo Collins, Ya-ping Hsieh, Lawrence Carin and Volkan Cevher
Advances in Neural Information Processing Systems 28, 2015


Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
Ye Wang and David B. Dunson
Advances in Neural Information Processing Systems 28, 2015


The Population Posterior and Bayesian Modeling on Streams
James Mcinerney, Rajesh Ranganath and David Blei
Advances in Neural Information Processing Systems 28, 2015


Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression
Yu-ying Liu, Shuang Li, Fuxin Li, Le Song and James M. Rehg
Advances in Neural Information Processing Systems 28, 2015


Deeply Learning the Messages in Message Passing Inference
Guosheng Lin, Chunhua Shen, Ian Reid and Anton Hengel
Advances in Neural Information Processing Systems 28, 2015


Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park, Gergo Bohner and Jakob H. Macke
Advances in Neural Information Processing Systems 28, 2015


The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions
Sebastian Bitzer and Stefan Kiebel
Advances in Neural Information Processing Systems 28, 2015


Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy
Marylou Gabrie, Eric W. Tramel and Florent Krzakala
Advances in Neural Information Processing Systems 28, 2015


Tensorizing Neural Networks
Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin and Dmitry P. Vetrov
Advances in Neural Information Processing Systems 28, 2015


Deep Poisson Factor Modeling
Ricardo Henao, Zhe Gan, James Lu and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Unsupervised Learning by Program Synthesis
Kevin Ellis, Armando Solar-lezama and Josh Tenenbaum
Advances in Neural Information Processing Systems 28, 2015


Learning both Weights and Connections for Efficient Neural Network
Song Han, Jeff Pool, John Tran and William Dally
Advances in Neural Information Processing Systems 28, 2015


Winner-Take-All Autoencoders
Alireza Makhzani and Brendan J. Frey
Advances in Neural Information Processing Systems 28, 2015


Character-level Convolutional Networks for Text Classification
Xiang Zhang, Junbo Zhao and Yann Lecun
Advances in Neural Information Processing Systems 28, 2015


Learning visual biases from human imagination
Carl Vondrick, Hamed Pirsiavash, Aude Oliva and Antonio Torralba
Advances in Neural Information Processing Systems 28, 2015


Galileo: Perceiving Physical Object Properties by Integrating a Physics Engine with Deep Learning
Jiajun Wu, Ilker Yildirim, Joseph J. Lim, Bill Freeman and Josh Tenenbaum
Advances in Neural Information Processing Systems 28, 2015


SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Qing Sun and Dhruv Batra
Advances in Neural Information Processing Systems 28, 2015


Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution
Yan Huang, Wei Wang and Liang Wang
Advances in Neural Information Processing Systems 28, 2015


Visalogy: Answering Visual Analogy Questions
Fereshteh Sadeghi, C. L. Zitnick and Ali Farhadi
Advances in Neural Information Processing Systems 28, 2015


Expressing an Image Stream with a Sequence of Natural Sentences
Cesc C. Park and Gunhee Kim
Advances in Neural Information Processing Systems 28, 2015


Learning Structured Output Representation using Deep Conditional Generative Models
Kihyuk Sohn, Honglak Lee and Xinchen Yan
Advances in Neural Information Processing Systems 28, 2015


Shepard Convolutional Neural Networks
Jimmy S. Ren, Li Xu, Qiong Yan and Wenxiu Sun
Advances in Neural Information Processing Systems 28, 2015


Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
Emily L. Denton, Soumith Chintala, Arthur Szlam and Rob Fergus
Advances in Neural Information Processing Systems 28, 2015


Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
Felipe Tobar, Thang D. Bui and Richard E. Turner
Advances in Neural Information Processing Systems 28, 2015


Closed-form Estimators for High-dimensional Generalized Linear Models
Eunho Yang, Aurelie C. Lozano and Pradeep K. Ravikumar
Advances in Neural Information Processing Systems 28, 2015


Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings
Piyush Rai, Changwei Hu, Ricardo Henao and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Biologically Inspired Dynamic Textures for Probing Motion Perception
Jonathan Vacher, Andrew I. Meso, Laurent U. Perrinet and Gabriel Peyré
Advances in Neural Information Processing Systems 28, 2015


Measuring Sample Quality with Stein\textquotesingle s Method
Jackson Gorham and Lester Mackey
Advances in Neural Information Processing Systems 28, 2015


High-dimensional neural spike train analysis with generalized count linear dynamical systems
Yuanjun Gao, Lars Busing, Krishna V. Shenoy and John P. Cunningham
Advances in Neural Information Processing Systems 28, 2015


On the Pseudo-Dimension of Nearly Optimal Auctions
Jamie H. Morgenstern and Tim Roughgarden
Advances in Neural Information Processing Systems 28, 2015


The Human Kernel
Andrew G. Wilson, Christoph Dann, Chris Lucas and Eric P. Xing
Advances in Neural Information Processing Systems 28, 2015


Interactive Control of Diverse Complex Characters with Neural Networks
Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic and Emanuel V. Todorov
Advances in Neural Information Processing Systems 28, 2015


Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal, Haipeng Luo and Robert E. Schapire
Advances in Neural Information Processing Systems 28, 2015


Competitive Distribution Estimation: Why is Good-Turing Good
Alon Orlitsky and Ananda T. Suresh
Advances in Neural Information Processing Systems 28, 2015


Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna E. Choromanska and Yann Lecun
Advances in Neural Information Processing Systems 28, 2015


Stochastic Expectation Propagation
Yingzhen Li, José M. Hernández-lobato and Richard E. Turner
Advances in Neural Information Processing Systems 28, 2015


Data Generation as Sequential Decision Making
Philip Bachman and Doina Precup
Advances in Neural Information Processing Systems 28, 2015


Automatic Variational Inference in Stan
Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman and David Blei
Advances in Neural Information Processing Systems 28, 2015


Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher Sa, Ce Zhang, Kunle Olukotun and Christopher Ré
Advances in Neural Information Processing Systems 28, 2015


Latent Bayesian melding for integrating individual and population models
Mingjun Zhong, Nigel Goddard and Charles Sutton
Advances in Neural Information Processing Systems 28, 2015


Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes
Ryan J. Giordano, Tamara Broderick and Michael I. Jordan
Advances in Neural Information Processing Systems 28, 2015


COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
Mehrdad Farajtabar, Yichen Wang, Manuel Gomez-rodriguez, Shuang Li, Hongyuan Zha and Le Song
Advances in Neural Information Processing Systems 28, 2015


Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci and Philipp Hennig
Advances in Neural Information Processing Systems 28, 2015


Distributed Submodular Cover: Succinctly Summarizing Massive Data
Baharan Mirzasoleiman, Amin Karbasi, Ashwinkumar Badanidiyuru and Andreas Krause
Advances in Neural Information Processing Systems 28, 2015


Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
Xiangru Lian, Yijun Huang, Yuncheng Li and Ji Liu
Advances in Neural Information Processing Systems 28, 2015


Newton-Stein Method: A Second Order Method for GLMs via Stein\textquotesingle s Lemma
Murat A. Erdogdu
Advances in Neural Information Processing Systems 28, 2015


Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
Françcois-xavier Briol, Chris Oates, Mark Girolami and Michael A. Osborne
Advances in Neural Information Processing Systems 28, 2015


The Self-Normalized Estimator for Counterfactual Learning
Adith Swaminathan and Thorsten Joachims
Advances in Neural Information Processing Systems 28, 2015


Extending Gossip Algorithms to Distributed Estimation of U-statistics
Igor Colin, Aurélien Bellet, Joseph Salmon and Stéphan Clémençcon
Advances in Neural Information Processing Systems 28, 2015


On some provably correct cases of variational inference for topic models
Pranjal Awasthi and Andrej Risteski
Advances in Neural Information Processing Systems 28, 2015


Distributionally Robust Logistic Regression
Soroosh Shafieezadeh-abadeh, Peyman M. Esfahani and Daniel Kuhn
Advances in Neural Information Processing Systems 28, 2015


Sampling from Probabilistic Submodular Models
Alkis Gotovos, Hamed Hassani and Andreas Krause
Advances in Neural Information Processing Systems 28, 2015


Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems
Yuxin Chen and Emmanuel Candes
Advances in Neural Information Processing Systems 28, 2015


Top-k Multiclass SVM
Maksim Lapin, Matthias Hein and Bernt Schiele
Advances in Neural Information Processing Systems 28, 2015


Submodular Hamming Metrics
Jennifer A. Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi and Jeff A. Bilmes
Advances in Neural Information Processing Systems 28, 2015


Optimal Rates for Random Fourier Features
Bharath Sriperumbudur and Zoltan Szabo
Advances in Neural Information Processing Systems 28, 2015


LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
Christos Thrampoulidis, Ehsan Abbasi and Babak Hassibi
Advances in Neural Information Processing Systems 28, 2015


b-bit Marginal Regression
Martin Slawski and Ping Li
Advances in Neural Information Processing Systems 28, 2015


Super-Resolution Off the Grid
Qingqing Huang and Sham M. Kakade
Advances in Neural Information Processing Systems 28, 2015


Minimum Weight Perfect Matching via Blossom Belief Propagation
Sung-soo Ahn, Sejun Park, Michael Chertkov and Jinwoo Shin
Advances in Neural Information Processing Systems 28, 2015


Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco and Christopher Musco
Advances in Neural Information Processing Systems 28, 2015


Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
Xia Qu and Prashant Doshi
Advances in Neural Information Processing Systems 28, 2015


A Nonconvex Optimization Framework for Low Rank Matrix Estimation
Tuo Zhao, Zhaoran Wang and Han Liu
Advances in Neural Information Processing Systems 28, 2015


Explore no more: Improved high-probability regret bounds for non-stochastic bandits
Gergely Neu
Advances in Neural Information Processing Systems 28, 2015


Communication Complexity of Distributed Convex Learning and Optimization
Yossi Arjevani and Ohad Shamir
Advances in Neural Information Processing Systems 28, 2015


Minimax Time Series Prediction
Wouter M. Koolen, Alan Malek, Peter L. Bartlett and Yasin Abbasi
Advances in Neural Information Processing Systems 28, 2015


Nearly Optimal Private LASSO
Kunal Talwar, Abhradeep Thakurta and Li Zhang
Advances in Neural Information Processing Systems 28, 2015


Accelerated Proximal Gradient Methods for Nonconvex Programming
Huan Li and Zhouchen Lin
Advances in Neural Information Processing Systems 28, 2015


Convergence Analysis of Prediction Markets via Randomized Subspace Descent
Rafael Frongillo and Mark D. Reid
Advances in Neural Information Processing Systems 28, 2015


Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
Martin Slawski, Ping Li and Matthias Hein
Advances in Neural Information Processing Systems 28, 2015


Online Gradient Boosting
Alina Beygelzimer, Elad Hazan, Satyen Kale and Haipeng Luo
Advances in Neural Information Processing Systems 28, 2015


Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma and Avi Wigderson
Advances in Neural Information Processing Systems 28, 2015


Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
Tom Goldstein, Min Li and Xiaoming Yuan
Advances in Neural Information Processing Systems 28, 2015


Combinatorial Cascading Bandits
Branislav Kveton, Zheng Wen, Azin Ashkan and Csaba Szepesvari
Advances in Neural Information Processing Systems 28, 2015


Black-box optimization of noisy functions with unknown smoothness
Jean-bastien Grill, Michal Valko, Remi Munos and Remi Munos
Advances in Neural Information Processing Systems 28, 2015


Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi and Constantine Caramanis
Advances in Neural Information Processing Systems 28, 2015


On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
Andrea Montanari, Daniel Reichman and Ofer Zeitouni
Advances in Neural Information Processing Systems 28, 2015


Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan, Kfir Levy and Shai Shalev-shwartz
Advances in Neural Information Processing Systems 28, 2015


Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms
Christopher Sa, Ce Zhang, Kunle Olukotun, Christopher Ré and Christopher Ré
Advances in Neural Information Processing Systems 28, 2015


Fast Randomized Kernel Ridge Regression with Statistical Guarantees
Ahmed Alaoui and Michael W. Mahoney
Advances in Neural Information Processing Systems 28, 2015


Bayesian Optimization with Exponential Convergence
Kenji Kawaguchi, Leslie P. Kaelbling and Tomás Lozano-pérez
Advances in Neural Information Processing Systems 28, 2015


Robust Portfolio Optimization
Huitong Qiu, Fang Han, Han Liu and Brian Caffo
Advances in Neural Information Processing Systems 28, 2015


Differentially Private Learning of Structured Discrete Distributions
Ilias Diakonikolas, Moritz Hardt and Ludwig Schmidt
Advances in Neural Information Processing Systems 28, 2015


Spectral Norm Regularization of Orthonormal Representations for Graph Transduction
Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya and Francis Bach
Advances in Neural Information Processing Systems 28, 2015


StopWasting My Gradients: Practical SVRG
Reza Harikandeh, Mohamed O. Ahmed, Alim Virani, Mark Schmidt, Jakub Kone\vcn\'y and Scott Sallinen
Advances in Neural Information Processing Systems 28, 2015


Smooth and Strong: MAP Inference with Linear Convergence
Ofer Meshi, Mehrdad Mahdavi and Alex Schwing
Advances in Neural Information Processing Systems 28, 2015


Monotone k-Submodular Function Maximization with Size Constraints
Naoto Ohsaka and Yuichi Yoshida
Advances in Neural Information Processing Systems 28, 2015


A class of network models recoverable by spectral clustering
Yali Wan and Marina Meila
Advances in Neural Information Processing Systems 28, 2015


Subspace Clustering with Irrelevant Features via Robust Dantzig Selector
Chao Qu and Huan Xu
Advances in Neural Information Processing Systems 28, 2015


Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai and Jeff A. Bilmes
Advances in Neural Information Processing Systems 28, 2015


Robust PCA with compressed data
Wooseok Ha and Rina F. Barber
Advances in Neural Information Processing Systems 28, 2015


Matrix Completion from Fewer Entries: Spectral Detectability and Rank Estimation
Alaa Saade, Florent Krzakala and Lenka Zdeborová
Advances in Neural Information Processing Systems 28, 2015


Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang and Aurelie C. Lozano
Advances in Neural Information Processing Systems 28, 2015


Estimating Mixture Models via Mixtures of Polynomials
Sida Wang, Arun T. Chaganty and Percy S. Liang
Advances in Neural Information Processing Systems 28, 2015


Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
Kevin Scaman, Rémi Lemonnier and Nicolas Vayatis
Advances in Neural Information Processing Systems 28, 2015


Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu and Alexander T. Ihler
Advances in Neural Information Processing Systems 28, 2015


GAP Safe screening rules for sparse multi-task and multi-class models
Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort and Joseph Salmon
Advances in Neural Information Processing Systems 28, 2015


Discrete R\'{e}nyi Classifiers
Meisam Razaviyayn, Farzan Farnia and David Tse
Advances in Neural Information Processing Systems 28, 2015


An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching
Xiao Li and Kannan Ramchandran
Advances in Neural Information Processing Systems 28, 2015


On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John Iii and Alexander T. Ihler
Advances in Neural Information Processing Systems 28, 2015


Basis refinement strategies for linear value function approximation in MDPs
Gheorghe Comanici, Doina Precup and Prakash Panangaden
Advances in Neural Information Processing Systems 28, 2015


Sample Complexity Bounds for Iterative Stochastic Policy Optimization
Marin Kobilarov
Advances in Neural Information Processing Systems 28, 2015


Bandits with Unobserved Confounders: A Causal Approach
Elias Bareinboim, Andrew Forney and Judea Pearl
Advances in Neural Information Processing Systems 28, 2015


Lifted Symmetry Detection and Breaking for MAP Inference
Timothy Kopp, Parag Singla and Henry Kautz
Advances in Neural Information Processing Systems 28, 2015


Online Prediction at the Limit of Zero Temperature
Mark Herbster, Stephen Pasteris and Shaona Ghosh
Advances in Neural Information Processing Systems 28, 2015


Rate-Agnostic (Causal) Structure Learning
Sergey Plis, David Danks, Cynthia Freeman and Vince Calhoun
Advances in Neural Information Processing Systems 28, 2015


Halting in Random Walk Kernels
Mahito Sugiyama and Karsten Borgwardt
Advances in Neural Information Processing Systems 28, 2015


Regressive Virtual Metric Learning
Micha\"el Perrot and Amaury Habrard
Advances in Neural Information Processing Systems 28, 2015


Adversarial Prediction Games for Multivariate Losses
Hong Wang, Wei Xing, Kaiser Asif and Brian Ziebart
Advances in Neural Information Processing Systems 28, 2015


Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P. Chwialkowski, Aaditya Ramdas, Dino Sejdinovic and Arthur Gretton
Advances in Neural Information Processing Systems 28, 2015


M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai and Le Song
Advances in Neural Information Processing Systems 28, 2015


Learning with Relaxed Supervision
Jacob Steinhardt and Percy S. Liang
Advances in Neural Information Processing Systems 28, 2015


BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions
Dominik Rothenhäusler, Christina Heinze, Jonas Peters and Nicolai Meinshausen
Advances in Neural Information Processing Systems 28, 2015


Fast and Accurate Inference of Plackett\textendash Luce Models
Lucas Maystre and Matthias Grossglauser
Advances in Neural Information Processing Systems 28, 2015


Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy and Marco Cuturi
Advances in Neural Information Processing Systems 28, 2015


Learning with a Wasserstein Loss
Charlie Frogner, Chiyuan Zhang, Hossein Mobahi, Mauricio Araya and Tomaso A. Poggio
Advances in Neural Information Processing Systems 28, 2015


Local Expectation Gradients for Black Box Variational Inference
Michalis Titsias and Miguel Lázaro-gredilla
Advances in Neural Information Processing Systems 28, 2015


Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
Nihar B. Shah and Denny Zhou
Advances in Neural Information Processing Systems 28, 2015


Tractable Learning for Complex Probability Queries
Jessa Bekker, Jesse Davis, Arthur Choi, Adnan Darwiche and Guy Broeck
Advances in Neural Information Processing Systems 28, 2015


Embedding Inference for Structured Multilabel Prediction
Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding and Dale Schuurmans
Advances in Neural Information Processing Systems 28, 2015


Expectation Particle Belief Propagation
Thibaut Lienart, Yee W. Teh and Arnaud Doucet
Advances in Neural Information Processing Systems 28, 2015


Supervised Learning for Dynamical System Learning
Ahmed Hefny, Carlton Downey and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 28, 2015


Model-Based Relative Entropy Stochastic Search
Abbas Abdolmaleki, Rudolf Lioutikov, Jan R. Peters, Nuno Lau, Luis P. Reis and Gerhard Neumann
Advances in Neural Information Processing Systems 28, 2015


Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova, Francis Bach and Simon Lacoste-julien
Advances in Neural Information Processing Systems 28, 2015


Fast Second Order Stochastic Backpropagation for Variational Inference
Kai Fan, Ziteng Wang, Jeff Beck, James Kwok and Katherine A. Heller
Advances in Neural Information Processing Systems 28, 2015


Copula variational inference
Dustin Tran, David Blei and Edo M. Airoldi
Advances in Neural Information Processing Systems 28, 2015


Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed and Danilo J. Rezende
Advances in Neural Information Processing Systems 28, 2015


Infinite Factorial Dynamical Model
Isabel Valera, Francisco Ruiz, Lennart Svensson and Fernando Perez-cruz
Advances in Neural Information Processing Systems 28, 2015


Variational Dropout and the Local Reparameterization Trick
Avrim Blum, Nika Haghtalab and Ariel D. Procaccia
Advances in Neural Information Processing Systems 28, 2015


Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
Amir Dezfouli and Edwin V. Bonilla
Advances in Neural Information Processing Systems 28, 2015


Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks
Minhyung Cho, Chandra Dhir and Jaehyung Lee
Advances in Neural Information Processing Systems 28, 2015


Learning spatiotemporal trajectories from manifold-valued longitudinal data
Jean-baptiste Schiratti, Stéphanie Allassonniere, Olivier Colliot and Stanley Durrleman
Advances in Neural Information Processing Systems 28, 2015


Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
Ehsan Adeli-mosabbeb, Kim-han Thung, Le An, Feng Shi and Dinggang Shen
Advances in Neural Information Processing Systems 28, 2015


Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models
Michael C. Hughes, William T. Stephenson and Erik Sudderth
Advances in Neural Information Processing Systems 28, 2015


Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation
Scott Linderman, Matthew Johnson and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


A Bayesian Framework for Modeling Confidence in Perceptual Decision Making
Koosha Khalvati and Rajesh P. Rao
Advances in Neural Information Processing Systems 28, 2015


Calibrated Structured Prediction
Volodymyr Kuleshov and Percy S. Liang
Advances in Neural Information Processing Systems 28, 2015


Statistical Model Criticism using Kernel Two Sample Tests
James R. Lloyd and Zoubin Ghahramani
Advances in Neural Information Processing Systems 28, 2015


Hidden Technical Debt in Machine Learning Systems
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-françcois Crespo and Dan Dennison
Advances in Neural Information Processing Systems 28, 2015


Deep Temporal Sigmoid Belief Networks for Sequence Modeling
Zhe Gan, Chunyuan Li, Ricardo Henao, David E. Carlson and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Deep Knowledge Tracing
Chris Piech, Jonathan Bassen, Jonathan Huang, Surya Ganguli, Mehran Sahami, Leonidas J. Guibas and Jascha Sohl-dickstein
Advances in Neural Information Processing Systems 28, 2015


A Recurrent Latent Variable Model for Sequential Data
Junyoung Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron C. Courville and Yoshua Bengio
Advances in Neural Information Processing Systems 28, 2015


Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A. Goetz and E. J. Chichilnisky
Advances in Neural Information Processing Systems 28, 2015


Bidirectional Recurrent Neural Networks as Generative Models
Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek and Juha T. Karhunen
Advances in Neural Information Processing Systems 28, 2015


A Theory of Decision Making Under Dynamic Context
Michael Shvartsman, Vaibhav Srivastava and Jonathan D. Cohen
Advances in Neural Information Processing Systems 28, 2015


Spectral Representations for Convolutional Neural Networks
Oren Rippel, Jasper Snoek and Ryan P. Adams
Advances in Neural Information Processing Systems 28, 2015


Learning to Transduce with Unbounded Memory
Edward Grefenstette, Karl M. Hermann, Mustafa Suleyman and Phil Blunsom
Advances in Neural Information Processing Systems 28, 2015


BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux, Yoshua Bengio and Jean-pierre David
Advances in Neural Information Processing Systems 28, 2015


Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data
Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion and Gael Varoquaux
Advances in Neural Information Processing Systems 28, 2015


The Poisson Gamma Belief Network
Mingyuan Zhou, Yulai Cong and Bo Chen
Advances in Neural Information Processing Systems 28, 2015


3D Object Proposals for Accurate Object Class Detection
Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler and Raquel Urtasun
Advances in Neural Information Processing Systems 28, 2015


Learning From Small Samples: An Analysis of Simple Decision Heuristics
özgür Çsimçsek and Marcus Buckmann
Advances in Neural Information Processing Systems 28, 2015


Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation
Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki and Juergen Schmidhuber
Advances in Neural Information Processing Systems 28, 2015


Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question
Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang and Wei Xu
Advances in Neural Information Processing Systems 28, 2015


Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros and Richard Zemel
Advances in Neural Information Processing Systems 28, 2015


Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott E. Reed, Ming-hsuan Yang and Honglak Lee
Advances in Neural Information Processing Systems 28, 2015


Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick and Jian Sun
Advances in Neural Information Processing Systems 28, 2015


Generative Image Modeling Using Spatial LSTMs
Lucas Theis and Matthias Bethge
Advances in Neural Information Processing Systems 28, 2015


Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin and H. S. Seung
Advances in Neural Information Processing Systems 28, 2015


Grammar as a Foreign Language
Oriol Vinyals, \l U. Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever and Geoffrey Hinton
Advances in Neural Information Processing Systems 28, 2015


Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling
Ming Liang, Xiaolin Hu and Bo Zhang
Advances in Neural Information Processing Systems 28, 2015


Texture Synthesis Using Convolutional Neural Networks
Leon Gatys, Alexander S. Ecker and Matthias Bethge
Advances in Neural Information Processing Systems 28, 2015