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JMLR Workshop and Conference Proceedings

Volume 32: Proceedings of The 31st International Conference on Machine Learning

Editors: Xing, Eric P. and Jebara, Tony

Contents:

Cycle 1 Papers

A Discriminative Latent Variable Model for Online Clustering

Rajhans Samdani, Kai-Wei Chang, Dan Roth ; JMLR W&CP 32 (1) :1-9, 2014

Kernel Mean Estimation and Stein Effect

Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Arthur Gretton, Bernhard Schoelkopf ; JMLR W&CP 32 (1) :10-18, 2014

Demystifying Information-Theoretic Clustering

Greg Ver Steeg, Aram Galstyan, Fei Sha, Simon DeDeo ; JMLR W&CP 32 (1) :19-27, 2014

Covering Number for Efficient Heuristic-based POMDP Planning

Zongzhang Zhang, David Hsu, Wee Sun Lee ; JMLR W&CP 32 (1) :28-36, 2014

The Coherent Loss Function for Classification

Wenzhuo Yang, Melvyn Sim, Huan Xu ; JMLR W&CP 32 (1) :37-45, 2014

Fast Stochastic Alternating Direction Method of Multipliers

Wenliang Zhong, James Kwok ; JMLR W&CP 32 (1) :46-54, 2014

Active Detection via Adaptive Submodularity

Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge Wich, Andreas Krause ; JMLR W&CP 32 (1) :55-63, 2014

Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization

Shai Shalev-Shwartz, Tong Zhang ; JMLR W&CP 32 (1) :64-72, 2014

An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization

Qihang Lin, Lin Xiao ; JMLR W&CP 32 (1) :73-81, 2014

Recurrent Convolutional Neural Networks for Scene Labeling

Pedro Pinheiro, Ronan Collobert ; JMLR W&CP 32 (1) :82-90, 2014

A Statistical Perspective on Algorithmic Leveraging

Ping Ma, Michael Mahoney, Bin Yu ; JMLR W&CP 32 (1) :91-99, 2014

Thompson Sampling for Complex Online Problems

Aditya Gopalan, Shie Mannor, Yishay Mansour ; JMLR W&CP 32 (1) :100-108, 2014

Boosting multi-step autoregressive forecasts

Souhaib Ben Taieb, Rob Hyndman ; JMLR W&CP 32 (1) :109-117, 2014

A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data

Arun Rajkumar, Shivani Agarwal ; JMLR W&CP 32 (1) :118-126, 2014

Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations

Timothy Mann, Shie Mannor ; JMLR W&CP 32 (1) :127-135, 2014

Latent Bandits.

Odalric-Ambrym Maillard, Shie Mannor ; JMLR W&CP 32 (1) :136-144, 2014

Fast Allocation of Gaussian Process Experts

Trung Nguyen, Edwin Bonilla ; JMLR W&CP 32 (1) :145-153, 2014

Von Mises-Fisher Clustering Models

Siddharth Gopal, Yiming Yang ; JMLR W&CP 32 (1) :154-162, 2014

Convergence rates for persistence diagram estimation in Topological Data Analysis

Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel ; JMLR W&CP 32 (1) :163-171, 2014

Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs

Fabian Gieseke, Justin Heinermann, Cosmin Oancea, Christian Igel ; JMLR W&CP 32 (1) :172-180, 2014

Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget

Anoop Korattikara, Yutian Chen, Max Welling ; JMLR W&CP 32 (1) :181-189, 2014

Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis

Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei, Ming Zhang ; JMLR W&CP 32 (1) :190-198, 2014

The Inverse Regression Topic Model

Maxim Rabinovich, David Blei ; JMLR W&CP 32 (1) :199-207, 2014

A Consistent Histogram Estimator for Exchangeable Graph Models

Stanley Chan, Edoardo Airoldi ; JMLR W&CP 32 (1) :208-216, 2014

Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data

Benjamin Letham, Wei Sun, Anshul Sheopuri ; JMLR W&CP 32 (1) :217-225, 2014

Towards Minimax Online Learning with Unknown Time Horizon

Haipeng Luo, Robert Schapire ; JMLR W&CP 32 (1) :226-234, 2014

Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball

Andrew Miller, Luke Bornn, Ryan Adams, Kirk Goldsberry ; JMLR W&CP 32 (1) :235-243, 2014

Margins, Kernels and Non-linear Smoothed Perceptrons

Aaditya Ramdas, Javier Peña ; JMLR W&CP 32 (1) :244-252, 2014

Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models

Shike Mei, Jun Zhu, Jerry Zhu ; JMLR W&CP 32 (1) :253-261, 2014

Learning Theory and Algorithms for revenue optimization in second price auctions with reserve

Mehryar Mohri, Andres Munoz Medina ; JMLR W&CP 32 (1) :262-270, 2014

Low-density Parity Constraints for Hashing-Based Discrete Integration

Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman ; JMLR W&CP 32 (1) :271-279, 2014

Prediction with Limited Advice and Multiarmed Bandits with Paid Observations

Yevgeny Seldin, Peter Bartlett, Koby Crammer, Yasin Abbasi-Yadkori ; JMLR W&CP 32 (1) :280-287, 2014

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts

Tien Vu Nguyen, Dinh Phung, Xuanlong Nguyen, Swetha Venkatesh, Hung Bui ; JMLR W&CP 32 (1) :288-296, 2014

Large-Margin Metric Learning for Constrained Partitioning Problems

Rémi Lajugie, Francis Bach, Sylvain Arlot ; JMLR W&CP 32 (1) :297-305, 2014

Wasserstein Propagation for Semi-Supervised Learning

Justin Solomon, Raif Rustamov, Leonidas Guibas, Adrian Butscher ; JMLR W&CP 32 (1) :306-314, 2014

Max-Margin Infinite Hidden Markov Models

Aonan Zhang, Jun Zhu, Bo Zhang ; JMLR W&CP 32 (1) :315-323, 2014

Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function

Yong Liu, Shali Jiang, Shizhong Liao ; JMLR W&CP 32 (1) :324-332, 2014

Generalized Exponential Concentration Inequality for Renyi Divergence Estimation

Shashank Singh, Barnabas Poczos ; JMLR W&CP 32 (1) :333-341, 2014

Boosting with Online Binary Learners for the Multiclass Bandit Problem

Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu ; JMLR W&CP 32 (1) :342-350, 2014

Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm

Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba, Ken-ichi Kawarabayashi ; JMLR W&CP 32 (1) :351-359, 2014

Computing Parametric Ranking Models via Rank-Breaking

Hossein Azari Soufiani, David Parkes, Lirong Xia ; JMLR W&CP 32 (1) :360-368, 2014

Tracking Adversarial Targets

Yasin Abbasi-Yadkori, Peter Bartlett, Varun Kanade ; JMLR W&CP 32 (1) :369-377, 2014

Online Bayesian Passive-Aggressive Learning

Tianlin Shi, Jun Zhu ; JMLR W&CP 32 (1) :378-386, 2014

Deterministic Policy Gradient Algorithms

David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin Riedmiller ; JMLR W&CP 32 (1) :387-395, 2014

Modeling Correlated Arrival Events with Latent Semi-Markov Processes

Wenzhao Lian, Vinayak Rao, Brian Eriksson, Lawrence Carin ; JMLR W&CP 32 (1) :396-404, 2014

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach

Rémi Bardenet, Arnaud Doucet, Chris Holmes ; JMLR W&CP 32 (1) :405-413, 2014

Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost

Ferdinando Cicalese, Eduardo Laber, Aline Medeiros Saettler ; JMLR W&CP 32 (1) :414-422, 2014

Condensed Filter Tree for Cost-Sensitive Multi-Label Classification

Chun-Liang Li, Hsuan-Tien Lin ; JMLR W&CP 32 (1) :423-431, 2014

On Measure Concentration of Random Maximum A-Posteriori Perturbations

Francesco Orabona, Tamir Hazan, Anand Sarwate, Tommi Jaakkola ; JMLR W&CP 32 (1) :432-440, 2014

Bias in Natural Actor-Critic Algorithms

Philip Thomas ; JMLR W&CP 32 (1) :441-448, 2014

Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning

François Denis, Mattias Gybels, Amaury Habrard ; JMLR W&CP 32 (1) :449-457, 2014

On Modelling Non-linear Topical Dependencies

Zhixing Li, Siqiang Wen, Juanzi Li, Peng Zhang, Jie Tang ; JMLR W&CP 32 (1) :458-466, 2014

A Deep and Tractable Density Estimator

Benigno Uria, Iain Murray, Hugo Larochelle ; JMLR W&CP 32 (1) :467-475, 2014

(Near) Dimension Independent Risk Bounds for Differentially Private Learning

Prateek Jain, Abhradeep Guha Thakurta ; JMLR W&CP 32 (1) :476-484, 2014

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels

Jiyan Yang, Vikas Sindhwani, Haim Avron, Michael Mahoney ; JMLR W&CP 32 (1) :485-493, 2014

Discriminative Features via Generalized Eigenvectors

Nikos Karampatziakis, Paul Mineiro ; JMLR W&CP 32 (1) :494-502, 2014

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint

Ji Liu, Jieping Ye, Ryohei Fujimaki ; JMLR W&CP 32 (1) :503-511, 2014

Online Learning in Markov Decision Processes with Changing Cost Sequences

Travis Dick, Andras Gyorgy, Csaba Szepesvari ; JMLR W&CP 32 (1) :512-520, 2014

Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms

Richard Combes, Alexandre Proutiere ; JMLR W&CP 32 (1) :521-529, 2014

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection

Arun Iyer, Saketha Nath, Sunita Sarawagi ; JMLR W&CP 32 (1) :530-538, 2014

Asymptotically consistent estimation of the number of change points in highly dependent time series

Azadeh Khaleghi, Daniil Ryabko ; JMLR W&CP 32 (1) :539-547, 2014

Coordinate-descent for learning orthogonal matrices through Givens rotations

Uri Shalit, Gal Chechik ; JMLR W&CP 32 (1) :548-556, 2014

Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search

Anshumali Shrivastava, Ping Li ; JMLR W&CP 32 (1) :557-565, 2014

A Divide-and-Conquer Solver for Kernel Support Vector Machines

Cho-Jui Hsieh, Si Si, Inderjit Dhillon ; JMLR W&CP 32 (1) :566-574, 2014

Nuclear Norm Minimization via Active Subspace Selection

Cho-Jui Hsieh, Peder Olsen ; JMLR W&CP 32 (1) :575-583, 2014

Provable Bounds for Learning Some Deep Representations

Sanjeev Arora, Aditya Bhaskara, Rong Ge, Tengyu Ma ; JMLR W&CP 32 (1) :584-592, 2014

Large-scale Multi-label Learning with Missing Labels

Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon ; JMLR W&CP 32 (1) :593-601, 2014

Learning Graphs with a Few Hubs

Rashish Tandon, Pradeep Ravikumar ; JMLR W&CP 32 (1) :602-610, 2014

Agnostic Bayesian Learning of Ensembles

Alexandre Lacoste, Mario Marchand, François Laviolette, Hugo Larochelle ; JMLR W&CP 32 (1) :611-619, 2014

Towards an optimal stochastic alternating direction method of multipliers

Samaneh Azadi, Suvrit Sra ; JMLR W&CP 32 (1) :620-628, 2014

Spherical Hamiltonian Monte Carlo for Constrained Target Distributions

Shiwei Lan, Bo Zhou, Babak Shahbaba ; JMLR W&CP 32 (1) :629-637, 2014

Efficient Continuous-Time Markov Chain Estimation

Monir Hajiaghayi, Bonnie Kirkpatrick, Liangliang Wang, Alexandre Bouchard-Côté ; JMLR W&CP 32 (1) :638-646, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell ; JMLR W&CP 32 (1) :647-655, 2014

Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers

Dani Yogatama, Noah Smith ; JMLR W&CP 32 (1) :656-664, 2014

Narrowing the Gap: Random Forests In Theory and In Practice

Misha Denil, David Matheson, Nando De Freitas ; JMLR W&CP 32 (1) :665-673, 2014

Coherent Matrix Completion

Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward ; JMLR W&CP 32 (1) :674-682, 2014

Admixture of Poisson MRFs: A Topic Model with Word Dependencies

David Inouye, Pradeep Ravikumar, Inderjit Dhillon ; JMLR W&CP 32 (1) :683-691, 2014

True Online TD(lambda)

Harm van Seijen, Rich Sutton ; JMLR W&CP 32 (1) :692-700, 2014

Memory Efficient Kernel Approximation

Si Si, Cho-Jui Hsieh, Inderjit Dhillon ; JMLR W&CP 32 (1) :701-709, 2014

Learning Sum-Product Networks with Direct and Indirect Variable Interactions

Amirmohammad Rooshenas, Daniel Lowd ; JMLR W&CP 32 (1) :710-718, 2014

Hamiltonian Monte Carlo Without Detailed Balance

Jascha Sohl-Dickstein, Mayur Mudigonda, Michael DeWeese ; JMLR W&CP 32 (1) :719-726, 2014

Filtering with Abstract Particles

Jacob Steinhardt, Percy Liang ; JMLR W&CP 32 (1) :727-735, 2014

Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers

Taiji Suzuki ; JMLR W&CP 32 (1) :736-744, 2014

Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction

Jian Zhou, Olga Troyanskaya ; JMLR W&CP 32 (1) :745-753, 2014

An Efficient Approach for Assessing Hyperparameter Importance

Frank Hutter, Holger Hoos, Kevin Leyton-Brown ; JMLR W&CP 32 (1) :754-762, 2014

Cycle 2 Papers

An Information Geometry of Statistical Manifold Learning

Ke Sun, Stéphane Marchand-Maillet ; JMLR W&CP 32 (1) :1-9, 2014

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem

Masrour Zoghi, Shimon Whiteson, Remi Munos, Maarten de Rijke ; JMLR W&CP 32 (1) :10-18, 2014

Compact Random Feature Maps

Raffay Hamid, Ying Xiao, Alex Gittens, Dennis Decoste ; JMLR W&CP 32 (1) :19-27, 2014

Concentration in unbounded metric spaces and algorithmic stability

Aryeh Kontorovich ; JMLR W&CP 32 (1) :28-36, 2014

Heavy-tailed regression with a generalized median-of-means

Daniel Hsu, Sivan Sabato ; JMLR W&CP 32 (1) :37-45, 2014

Spectral Bandits for Smooth Graph Functions

Michal Valko, Remi Munos, Branislav Kveton, Tomáš Kocák ; JMLR W&CP 32 (1) :46-54, 2014

Robust Principal Component Analysis with Complex Noise

Qian Zhao, Deyu Meng, Zongben Xu, Wangmeng Zuo, Lei Zhang ; JMLR W&CP 32 (1) :55-63, 2014

Scalable Semidefinite Relaxation for Maximum A Posterior Estimation

Qixing Huang, Yuxin Chen, Leonidas Guibas ; JMLR W&CP 32 (1) :64-72, 2014

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery

Cun Mu, Bo Huang, John Wright, Donald Goldfarb ; JMLR W&CP 32 (1) :73-81, 2014

Automated inference of point of view from user interactions in collective intelligence venues

Sanmay Das, Allen Lavoie ; JMLR W&CP 32 (1) :82-90, 2014

Rank-One Matrix Pursuit for Matrix Completion

Zheng Wang, Ming-Jun Lai, Zhaosong Lu, Wei Fan, Hasan Davulcu, Jieping Ye ; JMLR W&CP 32 (1) :91-99, 2014

Near-Optimal Joint Object Matching via Convex Relaxation

Yuxin Chen, Leonidas Guibas, Qixing Huang ; JMLR W&CP 32 (1) :100-108, 2014

Convex Total Least Squares

Dmitry Malioutov, Nikolai Slavov ; JMLR W&CP 32 (1) :109-117, 2014

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection

Pratik Jawanpuria, Manik Varma, Saketha Nath ; JMLR W&CP 32 (1) :118-126, 2014

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization

Xiaotong Yuan, Ping Li, Tong Zhang ; JMLR W&CP 32 (1) :127-135, 2014

A Unified Framework for Consistency of Regularized Loss Minimizers

Jean Honorio, Tommi Jaakkola ; JMLR W&CP 32 (1) :136-144, 2014

Geodesic Distance Function Learning via Heat Flow on Vector Fields

Binbin Lin, Ji Yang, Xiaofei He, Jieping Ye ; JMLR W&CP 32 (1) :145-153, 2014

Near-Optimally Teaching the Crowd to Classify

Adish Singla, Ilija Bogunovic, Gabor Bartok, Amin Karbasi, Andreas Krause ; JMLR W&CP 32 (1) :154-162, 2014

On the convergence of no-regret learning in selfish routing

Walid Krichene, Benjamin Drighès, Alexandre Bayen ; JMLR W&CP 32 (1) :163-171, 2014

Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques

Jérémie Mary, Philippe Preux, Olivier Nicol ; JMLR W&CP 32 (1) :172-180, 2014

Scaling Up Robust MDPs using Function Approximation

Aviv Tamar, Shie Mannor, Huan Xu ; JMLR W&CP 32 (1) :181-189, 2014

Marginal Structured SVM with Hidden Variables

Wei Ping, Qiang Liu, Alex Ihler ; JMLR W&CP 32 (1) :190-198, 2014

Linear and Parallel Learning of Markov Random Fields

Yariv Mizrahi, Misha Denil, Nando De Freitas ; JMLR W&CP 32 (1) :199-207, 2014

Pitfalls in the use of Parallel Inference for the Dirichlet Process

Yarin Gal, Zoubin Ghahramani ; JMLR W&CP 32 (1) :208-216, 2014

Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing

Yuan Zhou, Xi Chen, Jian Li ; JMLR W&CP 32 (1) :217-225, 2014

Deep Generative Stochastic Networks Trainable by Backprop

Yoshua Bengio, Eric Laufer, Guillaume Alain, Jason Yosinski ; JMLR W&CP 32 (1) :226-234, 2014

A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models

Jie Wang, Qingyang Li, Sen Yang, Wei Fan, Peter Wonka, Jieping Ye ; JMLR W&CP 32 (1) :235-243, 2014

Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting

Yudong Chen, Jiaming Xu ; JMLR W&CP 32 (1) :244-252, 2014

Gaussian Process Optimization with Mutual Information

Emile Contal, Vianney Perchet, Nicolas Vayatis ; JMLR W&CP 32 (1) :253-261, 2014

Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy

Dengyong Zhou, Qiang Liu, John Platt, Christopher Meek ; JMLR W&CP 32 (1) :262-270, 2014

Exchangeable Variable Models

Mathias Niepert, Pedro Domingos ; JMLR W&CP 32 (1) :271-279, 2014

Clustering in the Presence of Background Noise

Shai Ben-David, Nika Haghtalab ; JMLR W&CP 32 (1) :280-288, 2014

Safe Screening with Variational Inequalities and Its Application to Lasso

Jun Liu, Zheng Zhao, Jie Wang, Jieping Ye ; JMLR W&CP 32 (1) :289-297, 2014

Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks

Shan-Hung Wu, Hao-Heng Chien, Kuan-Hua Lin, Philip Yu ; JMLR W&CP 32 (1) :298-306, 2014

Signal recovery from Pooling Representations

Joan Bruna Estrach, Arthur Szlam, Yann LeCun ; JMLR W&CP 32 (1) :307-315, 2014

PAC-inspired Option Discovery in Lifelong Reinforcement Learning

Emma Brunskill, Lihong Li ; JMLR W&CP 32 (1) :316-324, 2014

Multi-label Classification via Feature-aware Implicit Label Space Encoding

Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang ; JMLR W&CP 32 (1) :325-333, 2014

Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications

Sebastien Bratieres, Novi Quadrianto, Sebastian Nowozin, Zoubin Ghahramani ; JMLR W&CP 32 (1) :334-342, 2014

Anomaly Ranking as Supervised Bipartite Ranking

Stephan Clémençon, Sylvain Robbiano ; JMLR W&CP 32 (1) :343-351, 2014

Hierarchical Quasi-Clustering Methods for Asymmetric Networks

Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro, Santiago Segarra ; JMLR W&CP 32 (1) :352-360, 2014

Rectangular Tiling Process

Masahiro Nakano, Katsuhiko Ishiguro, Akisato Kimura, Takeshi Yamada, Naonori Ueda ; JMLR W&CP 32 (1) :361-369, 2014

Two-Stage Metric Learning

Jun Wang, Ke Sun, Fei Sha, Stéphane Marchand-Maillet, Alexandros Kalousis ; JMLR W&CP 32 (1) :370-378, 2014

Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices

Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani ; JMLR W&CP 32 (1) :379-387, 2014

Elementary Estimators for High-Dimensional Linear Regression

Eunho Yang, Aurelie Lozano, Pradeep Ravikumar ; JMLR W&CP 32 (1) :388-396, 2014

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments

Eunho Yang, Aurelie Lozano, Pradeep Ravikumar ; JMLR W&CP 32 (1) :397-405, 2014

Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically

Yuan Fang, Kevin Chang, Hady Lauw ; JMLR W&CP 32 (1) :406-414, 2014

Bayesian Max-margin Multi-Task Learning with Data Augmentation

Chengtao Li, Jun Zhu, Jianfei Chen ; JMLR W&CP 32 (1) :415-423, 2014

Sparse Reinforcement Learning via Convex Optimization

Zhiwei Qin, Weichang Li, Firdaus Janoos ; JMLR W&CP 32 (1) :424-432, 2014

Gaussian Process Classification and Active Learning with Multiple Annotators

Filipe Rodrigues, Francisco Pereira, Bernardete Ribeiro ; JMLR W&CP 32 (1) :433-441, 2014

Structured Prediction of Network Response

Hongyu Su, Aristides Gionis, Juho Rousu ; JMLR W&CP 32 (1) :442-450, 2014

An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy

Gavin Taylor, Connor Geer, David Piekut ; JMLR W&CP 32 (1) :451-459, 2014

Optimization Equivalence of Divergences Improves Neighbor Embedding

Zhirong Yang, Jaakko Peltonen, Samuel Kaski ; JMLR W&CP 32 (1) :460-468, 2014

An Asynchronous Parallel Stochastic Coordinate Descent Algorithm

Ji Liu, Steve Wright, Christopher Re, Victor Bittorf, Srikrishna Sridhar ; JMLR W&CP 32 (1) :469-477, 2014

Consistency of Causal Inference under the Additive Noise Model

Samory Kpotufe, Eleni Sgouritsa, Dominik Janzing, Bernhard Schoelkopf ; JMLR W&CP 32 (1) :478-486, 2014

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm

Alexander Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun ; JMLR W&CP 32 (1) :487-495, 2014

Linear Programming for Large-Scale Markov Decision Problems

Alan Malek, Yasin Abbasi-Yadkori, Peter Bartlett ; JMLR W&CP 32 (1) :496-504, 2014

Linear Time Solver for Primal SVM

Feiping Nie, Yizhen Huang, Heng Huang ; JMLR W&CP 32 (1) :505-513, 2014

Memory (and Time) Efficient Sequential Monte Carlo

Seong-Hwan Jun, Alexandre Bouchard-Côté ; JMLR W&CP 32 (1) :514-522, 2014

Scaling SVM and Least Absolute Deviations via Exact Data Reduction

Jie Wang, Peter Wonka, Jieping Ye ; JMLR W&CP 32 (1) :523-531, 2014

Latent Semantic Representation Learning for Scene Classification

Xin Li, Yuhong Guo ; JMLR W&CP 32 (1) :532-540, 2014

Least Squares Revisited: Scalable Approaches for Multi-class Prediction

Alekh Agarwal, Sham Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant ; JMLR W&CP 32 (1) :541-549, 2014

Local algorithms for interactive clustering

Pranjal Awasthi, Maria Balcan, Konstantin Voevodski ; JMLR W&CP 32 (1) :550-558, 2014

Model-Based Relational RL When Object Existence is Partially Observable

Vien Ngo, marc Toussaint ; JMLR W&CP 32 (1) :559-567, 2014

A new Q(lambda) with interim forward view and Monte Carlo equivalence

Rich Sutton, Ashique Rupam Mahmood, Doina Precup, Hado van Hasselt ; JMLR W&CP 32 (1) :568-576, 2014

On Robustness and Regularization of Structural Support Vector Machines

Mohamad Ali Torkamani, Daniel Lowd ; JMLR W&CP 32 (1) :577-585, 2014

Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting

Oscar Beijbom, Mohammad Saberian, David Kriegman, Nuno Vasconcelos ; JMLR W&CP 32 (1) :586-594, 2014

Multimodal Neural Language Models

Ryan Kiros, Ruslan Salakhutdinov, Rich Zemel ; JMLR W&CP 32 (1) :595-603, 2014

Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods

Jascha Sohl-Dickstein, Ben Poole, Surya Ganguli ; JMLR W&CP 32 (1) :604-612, 2014

Alternating Minimization for Mixed Linear Regression

Xinyang Yi, Constantine Caramanis, Sujay Sanghavi ; JMLR W&CP 32 (1) :613-621, 2014

Stochastic Neighbor Compression

Matt Kusner, Stephen Tyree, Kilian Weinberger, Kunal Agrawal ; JMLR W&CP 32 (1) :622-630, 2014

Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification

Junfeng Wen, Chun-Nam Yu, Russell Greiner ; JMLR W&CP 32 (1) :631-639, 2014

Nonparametric Estimation of Multi-View Latent Variable Models

Le Song, Animashree Anandkumar, Bo Dai, Bo Xie ; JMLR W&CP 32 (1) :640-648, 2014

Structured Generative Models of Natural Source Code

Chris Maddison, Daniel Tarlow ; JMLR W&CP 32 (1) :649-657, 2014

A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data

Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin, Anil Jain ; JMLR W&CP 32 (1) :658-666, 2014

Statistical analysis of stochastic gradient methods for generalized linear models

Panagiotis Toulis, Edoardo Airoldi, Jason Rennie ; JMLR W&CP 32 (1) :667-675, 2014

Coding for Random Projections

Ping Li, Michael Mitzenmacher, Anshumali Shrivastava ; JMLR W&CP 32 (1) :676-684, 2014

Fast Computation of Wasserstein Barycenters

Marco Cuturi, Arnaud Doucet ; JMLR W&CP 32 (1) :685-693, 2014

Global graph kernels using geometric embeddings

Fredrik Johansson, Vinay Jethava, Devdatt Dubhashi, Chiranjib Bhattacharyya ; JMLR W&CP 32 (1) :694-702, 2014

Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data

Zhiyuan Chen, Bing Liu ; JMLR W&CP 32 (1) :703-711, 2014

K-means recovers ICA filters when independent components are sparse

Alon Vinnikov, Shai Shalev-Shwartz ; JMLR W&CP 32 (1) :712-720, 2014

Learning Mixtures of Linear Classifiers

Yuekai Sun, Stratis Ioannidis, Andrea Montanari ; JMLR W&CP 32 (1) :721-729, 2014

The Falling Factorial Basis and Its Statistical Applications

Yu-Xiang Wang, Alex Smola, Ryan Tibshirani ; JMLR W&CP 32 (1) :730-738, 2014

Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes

Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan Kankanhalli ; JMLR W&CP 32 (1) :739-747, 2014

A Unifying View of Representer Theorems

Andreas Argyriou, Francesco Dinuzzo ; JMLR W&CP 32 (1) :748-756, 2014

Online Clustering of Bandits

Claudio Gentile, Shuai Li, Giovanni Zappella ; JMLR W&CP 32 (1) :757-765, 2014

Cold-start Active Learning with Robust Ordinal Matrix Factorization

Neil Houlsby, Jose Miguel Hernandez-Lobato, Zoubin Ghahramani ; JMLR W&CP 32 (1) :766-774, 2014

Multivariate Maximal Correlation Analysis

Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken, Pavel Efros, Klemens Böhm ; JMLR W&CP 32 (1) :775-783, 2014

Efficient Label Propagation

Yasuhiro Fujiwara, Go Irie ; JMLR W&CP 32 (1) :784-792, 2014

Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm

Hadi Daneshmand, Manuel Gomez-Rodriguez, Le Song, Bernhard Schoelkopf ; JMLR W&CP 32 (1) :793-801, 2014

Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising

Ling Yan, Wu-Jun Li, Gui-Rong Xue, Dingyi Han ; JMLR W&CP 32 (1) :802-810, 2014

Putting MRFs on a Tensor Train

Alexander Novikov, Anton Rodomanov, Anton Osokin, Dmitry Vetrov ; JMLR W&CP 32 (1) :811-819, 2014

Efficient Algorithms for Robust One-bit Compressive Sensing

Lijun Zhang, Jinfeng Yi, Rong Jin ; JMLR W&CP 32 (1) :820-828, 2014

Learning Complex Neural Network Policies with Trajectory Optimization

Sergey Levine, Vladlen Koltun ; JMLR W&CP 32 (1) :829-837, 2014

Composite Quantization for Approximate Nearest Neighbor Search

Ting Zhang, Chao Du, Jingdong Wang ; JMLR W&CP 32 (1) :838-846, 2014

Local Ordinal Embedding

Yoshikazu Terada, Ulrike von Luxburg ; JMLR W&CP 32 (1) :847-855, 2014

Reducing Dueling Bandits to Cardinal Bandits

Nir Ailon, Zohar Karnin, Thorsten Joachims ; JMLR W&CP 32 (1) :856-864, 2014

Large-margin Weakly Supervised Dimensionality Reduction

Chang Xu, Dacheng Tao, Chao Xu, Yong Rui ; JMLR W&CP 32 (1) :865-873, 2014

Joint Inference of Multiple Label Types in Large Networks

Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus Macskassy ; JMLR W&CP 32 (1) :874-882, 2014

Hard-Margin Active Linear Regression

Zohar Karnin, Elad Hazan ; JMLR W&CP 32 (1) :883-891, 2014

Maximum Margin Multiclass Nearest Neighbors

Aryeh Kontorovich, Roi Weiss ; JMLR W&CP 32 (1) :892-900, 2014

Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications

Tian Lin, Bruno Abrahao, Robert Kleinberg, John Lui, Wei Chen ; JMLR W&CP 32 (1) :901-909, 2014

Sparse meta-Gaussian information bottleneck

Melani Rey, Volker Roth, Thomas Fuchs ; JMLR W&CP 32 (1) :910-918, 2014

Nonparametric Estimation of Renyi Divergence and Friends

Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos, Larry Wasserman ; JMLR W&CP 32 (1) :919-927, 2014

Robust Inverse Covariance Estimation under Noisy Measurements

Jun-Kun Wang, Shou-de Lin ; JMLR W&CP 32 (1) :928-936, 2014

Bayesian Optimization with Inequality Constraints

Jacob Gardner, Matt Kusner, Zhixiang, Kilian Weinberger, John Cunningham ; JMLR W&CP 32 (1) :937-945, 2014

Circulant Binary Embedding

Felix Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang ; JMLR W&CP 32 (1) :946-954, 2014

Multiple Testing under Dependence via Semiparametric Graphical Models

Jie Liu, Chunming Zhang, Elizabeth Burnside, David Page ; JMLR W&CP 32 (1) :955-963, 2014

Making Fisher Discriminant Analysis Scalable

Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian ; JMLR W&CP 32 (1) :964-972, 2014

Hierarchical Dirichlet Scaling Process

Dongwoo Kim, Alice Oh ; JMLR W&CP 32 (1) :973-981, 2014

Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process

Issei Sato, Hiroshi Nakagawa ; JMLR W&CP 32 (1) :982-990, 2014

A PAC-Bayesian bound for Lifelong Learning

Anastasia Pentina, Christoph Lampert ; JMLR W&CP 32 (1) :991-999, 2014

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

Ohad Shamir, Nati Srebro, Tong Zhang ; JMLR W&CP 32 (1) :1000-1008, 2014

Concept Drift Detection Through Resampling

Maayan Harel, Shie Mannor, Ran El-Yaniv, Koby Crammer ; JMLR W&CP 32 (1) :1009-1017, 2014

Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow

David Gleich, Michael Mahoney ; JMLR W&CP 32 (1) :1018-1025, 2014

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process

Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri ; JMLR W&CP 32 (1) :1026-1034, 2014

Min-Max Problems on Factor Graphs

Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey, Russell Greiner ; JMLR W&CP 32 (1) :1035-1043, 2014

Distributed Stochastic Gradient MCMC

Sungjin Ahn, Babak Shahbaba, Max Welling ; JMLR W&CP 32 (1) :1044-1052, 2014

Nearest Neighbors Using Compact Sparse Codes

Anoop Cherian ; JMLR W&CP 32 (1) :1053-1061, 2014

Optimal Mean Robust Principal Component Analysis

Feiping Nie, Jianjun Yuan, Heng Huang ; JMLR W&CP 32 (1) :1062-1070, 2014

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows

Robert Busa-Fekete, Eyke Huellermeier, Balázs Szörényi ; JMLR W&CP 32 (1) :1071-1079, 2014

Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations

Bilal Ahmed, Thomas Thesen, Karen Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky, Carla Brodley ; JMLR W&CP 32 (1) :1080-1088, 2014

A Physics-Based Model Prior for Object-Oriented MDPs

Jonathan Scholz, Martin Levihn, Charles Isbell, David Wingate ; JMLR W&CP 32 (1) :1089-1097, 2014

Outlier Path: A Homotopy Algorithm for Robust SVM

Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi ; JMLR W&CP 32 (1) :1098-1106, 2014

Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data

Naiyan Wang, Dit-Yan Yeung ; JMLR W&CP 32 (1) :1107-1115, 2014

Latent Confusion Analysis by Normalized Gamma Construction

Issei Sato, Hisashi Kashima, Hiroshi Nakagawa ; JMLR W&CP 32 (1) :1116-1124, 2014

Finito: A faster, permutable incremental gradient method for big data problems

Aaron Defazio, Justin Domke, tiberio Caetano ; JMLR W&CP 32 (1) :1125-1133, 2014

Ensemble Methods for Structured Prediction

Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri ; JMLR W&CP 32 (1) :1134-1142, 2014

Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance

Simone Romano, James Bailey, Vinh Nguyen, Karin Verspoor ; JMLR W&CP 32 (1) :1143-1151, 2014

Preserving Modes and Messages via Diverse Particle Selection

Jason Pacheco, Silvia Zuffi, Michael Black, Erik Sudderth ; JMLR W&CP 32 (1) :1152-1160, 2014

Nonlinear Information-Theoretic Compressive Measurement Design

Liming Wang, Abolfazl Razi, Miguel Rodrigues, Robert Calderbank, Lawrence Carin ; JMLR W&CP 32 (1) :1161-1169, 2014

Dual Query: Practical Private Query Release for High Dimensional Data

Marco Gaboardi, Emilio Jesus Gallego Arias, Justin Hsu, Aaron Roth, Zhiwei Steven Wu ; JMLR W&CP 32 (1) :1170-1178, 2014

Deep Boosting

Corinna Cortes, Mehryar Mohri, Umar Syed ; JMLR W&CP 32 (1) :1179-1187, 2014

Distributed Representations of Sentences and Documents

Quoc Le, Tomas Mikolov ; JMLR W&CP 32 (1) :1188-1196, 2014

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models

Robert McGibbon, Bharath Ramsundar, Mohammad Sultan, Gert Kiss, Vijay Pande ; JMLR W&CP 32 (1) :1197-1205, 2014

Online Multi-Task Learning for Policy Gradient Methods

Haitham Bou Ammar, Eric Eaton, Paul Ruvolo, Matthew Taylor ; JMLR W&CP 32 (1) :1206-1214, 2014

Affinity Weighted Embedding

Jason Weston, Ron Weiss, Hector Yee ; JMLR W&CP 32 (1) :1215-1223, 2014

Learning the Parameters of Determinantal Point Process Kernels

Raja Hafiz Affandi, Emily Fox, Ryan Adams, Ben Taskar ; JMLR W&CP 32 (1) :1224-1232, 2014

Discrete Chebyshev Classifiers

Elad Eban, Elad Mezuman, Amir Globerson ; JMLR W&CP 32 (1) :1233-1241, 2014

Deep AutoRegressive Networks

Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra ; JMLR W&CP 32 (1) :1242-1250, 2014

A Convergence Rate Analysis for LogitBoost, MART and Their Variant

Peng Sun, Tong Zhang, Jie Zhou ; JMLR W&CP 32 (1) :1251-1259, 2014

Inferning with High Girth Graphical Models

Uri Heinemann, Amir Globerson ; JMLR W&CP 32 (1) :1260-1268, 2014

Learning Latent Variable Gaussian Graphical Models

Zhaoshi Meng, Brian Eriksson, Al Hero ; JMLR W&CP 32 (1) :1269-1277, 2014

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra ; JMLR W&CP 32 (1) :1278-1286, 2014

One Practical Algorithm for Both Stochastic and Adversarial Bandits

Yevgeny Seldin, Aleksandrs Slivkins ; JMLR W&CP 32 (1) :1287-1295, 2014

Robust and Efficient Kernel Hyperparameter Paths with Guarantees

Joachim Giesen, Soeren Laue, Patrick Wieschollek ; JMLR W&CP 32 (1) :1296-1304, 2014

Active Transfer Learning under Model Shift

Xuezhi Wang, Tzu-Kuo Huang, Jeff Schneider ; JMLR W&CP 32 (1) :1305-1313, 2014

Approximate Policy Iteration Schemes: A Comparison

Bruno Scherrer ; JMLR W&CP 32 (1) :1314-1322, 2014

Stable and Efficient Representation Learning with Nonnegativity Constraints

Tsung-Han Lin, H. T. Kung ; JMLR W&CP 32 (1) :1323-1331, 2014

Sample Efficient Reinforcement Learning with Gaussian Processes

Robert Grande, Thomas Walsh, Jonathan How ; JMLR W&CP 32 (1) :1332-1340, 2014

Memory and Computation Efficient PCA via Very Sparse Random Projections

Farhad Pourkamali Anaraki, Shannon Hughes ; JMLR W&CP 32 (1) :1341-1349, 2014

Time-Regularized Interrupting Options (TRIO)

Timothy Mann, Daniel Mankowitz, Shie Mannor ; JMLR W&CP 32 (1) :1350-1358, 2014

Randomized Nonlinear Component Analysis

David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, Bernhard Schoelkopf ; JMLR W&CP 32 (1) :1359-1367, 2014

High Order Regularization for Semi-Supervised Learning of Structured Output Problems

Yujia Li, Rich Zemel ; JMLR W&CP 32 (1) :1368-1376, 2014

Transductive Learning with Multi-class Volume Approximation

Gang Niu, Bo Dai, Christoffel du Plessis, Masashi Sugiyama ; JMLR W&CP 32 (1) :1377-1385, 2014

Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison

Borja Balle, William Hamilton, Joelle Pineau ; JMLR W&CP 32 (1) :1386-1394, 2014

Effective Bayesian Modeling of Groups of Related Count Time Series

Nicolas Chapados ; JMLR W&CP 32 (1) :1395-1403, 2014

Variational Inference for Sequential Distance Dependent Chinese Restaurant Process

Sergey Bartunov, Dmitry Vetrov ; JMLR W&CP 32 (1) :1404-1412, 2014

Discovering Latent Network Structure in Point Process Data

Scott Linderman, Ryan Adams ; JMLR W&CP 32 (1) :1413-1421, 2014

A Kernel Independence Test for Random Processes

Kacper Chwialkowski, Arthur Gretton ; JMLR W&CP 32 (1) :1422-1430, 2014

Learning to Disentangle Factors of Variation with Manifold Interaction

Scott Reed, Kihyuk Sohn, Yuting Zhang, Honglak Lee ; JMLR W&CP 32 (1) :1431-1439, 2014

Learning Modular Structures from Network Data and Node Variables

Elham Azizi, Edoardo Airoldi, James Galagan ; JMLR W&CP 32 (1) :1440-1448, 2014

Probabilistic Partial Canonical Correlation Analysis

Yusuke Mukuta, tatsuya Harada ; JMLR W&CP 32 (1) :1449-1457, 2014

Skip Context Tree Switching

Marc Bellemare, Joel Veness, Erik Talvitie ; JMLR W&CP 32 (1) :1458-1466, 2014

Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians

Christopher Tosh, Sanjoy Dasgupta ; JMLR W&CP 32 (1) :1467-1475, 2014

Marginalized Denoising Auto-encoders for Nonlinear Representations

Minmin Chen, Kilian Weinberger, Fei Sha, Yoshua Bengio ; JMLR W&CP 32 (1) :1476-1484, 2014

Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations

David Barber, Yali Wang ; JMLR W&CP 32 (1) :1485-1493, 2014

Fast Multi-stage Submodular Maximization

Kai Wei, Rishabh Iyer, Jeff Bilmes ; JMLR W&CP 32 (1) :1494-1502, 2014

Programming by Feedback

Marc Schoenauer, Riad Akrour, Michele Sebag, Jean-Christophe Souplet ; JMLR W&CP 32 (1) :1503-1511, 2014

Probabilistic Matrix Factorization with Non-random Missing Data

Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani ; JMLR W&CP 32 (1) :1512-1520, 2014

Pursuit-Evasion Without Regret, with an Application to Trading

Lili Dworkin, Michael Kearns, Yuriy Nevmyvaka ; JMLR W&CP 32 (1) :1521-1529, 2014

The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation

Sven Kurras, Ulrike von Luxburg, Gilles Blanchard ; JMLR W&CP 32 (1) :1530-1538, 2014

Riemannian Pursuit for Big Matrix Recovery

Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan ; JMLR W&CP 32 (1) :1539-1547, 2014

Dynamic Programming Boosting for Discriminative Macro-Action Discovery

Leonidas Lefakis, Francois Fleuret ; JMLR W&CP 32 (1) :1548-1556, 2014

Online Stochastic Optimization under Correlated Bandit Feedback

Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill ; JMLR W&CP 32 (1) :1557-1565, 2014

Weighted Graph Clustering with Non-Uniform Uncertainties

Yudong Chen, Shiau Hong Lim, Huan Xu ; JMLR W&CP 32 (1) :1566-1574, 2014

GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results

Philip Thomas ; JMLR W&CP 32 (1) :1575-1583, 2014

A Bayesian Framework for Online Classifier Ensemble

Qinxun Bai, Henry Lam, Stan Sclaroff ; JMLR W&CP 32 (1) :1584-1592, 2014

Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm

Jacob Steinhardt, Percy Liang ; JMLR W&CP 32 (1) :1593-1601, 2014

Gaussian Approximation of Collective Graphical Models

Liping Liu, Daniel Sheldon, Thomas Dietterich ; JMLR W&CP 32 (1) :1602-1610, 2014

On learning to localize objects with minimal supervision

Hyun Oh Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui, Trevor Darrell ; JMLR W&CP 32 (1) :1611-1619, 2014

Multiresolution Matrix Factorization

Risi Kondor, Nedelina Teneva, Vikas Garg ; JMLR W&CP 32 (1) :1620-1628, 2014

Learnability of the Superset Label Learning Problem

Liping Liu, Thomas Dietterich ; JMLR W&CP 32 (1) :1629-1637, 2014

Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits

Alekh Agarwal, Daniel Hsu, Satyen Kale, John Langford, Lihong Li, Robert Schapire ; JMLR W&CP 32 (1) :1638-1646, 2014

Structured Recurrent Temporal Restricted Boltzmann Machines

Roni Mittelman, Benjamin Kuipers, Silvio Savarese, Honglak Lee ; JMLR W&CP 32 (1) :1647-1655, 2014

Scalable and Robust Bayesian Inference via the Median Posterior

Stanislav Minsker, Sanvesh Srivastava, Lizhen Lin, David Dunson ; JMLR W&CP 32 (1) :1656-1664, 2014

Kernel Adaptive Metropolis-Hastings

Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton ; JMLR W&CP 32 (1) :1665-1673, 2014

Input Warping for Bayesian Optimization of Non-Stationary Functions

Jasper Snoek, Kevin Swersky, Rich Zemel, Ryan Adams ; JMLR W&CP 32 (1) :1674-1682, 2014

Stochastic Gradient Hamiltonian Monte Carlo

Tianqi Chen, Emily Fox, Carlos Guestrin ; JMLR W&CP 32 (1) :1683-1691, 2014

A Deep Semi-NMF Model for Learning Hidden Representations

George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Bjoern Schuller ; JMLR W&CP 32 (1) :1692-1700, 2014

Asynchronous Distributed ADMM for Consensus Optimization

Ruiliang Zhang, James Kwok ; JMLR W&CP 32 (1) :1701-1709, 2014

Spectral Regularization for Max-Margin Sequence Tagging

Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson ; JMLR W&CP 32 (1) :1710-1718, 2014

Learning by Stretching Deep Networks

Gaurav Pandey, Ambedkar Dukkipati ; JMLR W&CP 32 (1) :1719-1727, 2014

Nonnegative Sparse PCA with Provable Guarantees

Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros Dimakis ; JMLR W&CP 32 (1) :1728-1736, 2014

Active Learning of Parameterized Skills

Bruno Da Silva, George Konidaris, Andrew Barto ; JMLR W&CP 32 (1) :1737-1745, 2014

Learning Ordered Representations with Nested Dropout

Oren Rippel, Michael Gelbart, Ryan Adams ; JMLR W&CP 32 (1) :1746-1754, 2014

Learning the Irreducible Representations of Commutative Lie Groups

Taco Cohen, Max Welling ; JMLR W&CP 32 (1) :1755-1763, 2014

Towards End-To-End Speech Recognition with Recurrent Neural Networks

Alex Graves, Navdeep Jaitly ; JMLR W&CP 32 (1) :1764-1772, 2014

Multi-period Trading Prediction Markets with Connections to Machine Learning

Jinli Hu, Amos Storkey ; JMLR W&CP 32 (1) :1773-1781, 2014

Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets

Diederik Kingma, Max Welling ; JMLR W&CP 32 (1) :1782-1790, 2014

Neural Variational Inference and Learning in Belief Networks

Andriy Mnih, Karol Gregor ; JMLR W&CP 32 (1) :1791-1799, 2014

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors

Piyush Rai, Yingjian Wang, Shengbo Guo, Gary Chen, David Dunson, Lawrence Carin ; JMLR W&CP 32 (1) :1800-1808, 2014

Beta Diffusion Trees

Creighton Heaukulani, David Knowles, Zoubin Ghahramani ; JMLR W&CP 32 (1) :1809-1817, 2014

Learning Character-level Representations for Part-of-Speech Tagging

Cicero Dos Santos, Bianca Zadrozny ; JMLR W&CP 32 (1) :1818-1826, 2014

Saddle Points and Accelerated Perceptron Algorithms

Adams Wei Yu, Fatma Kilinc-Karzan, Jaime Carbonell ; JMLR W&CP 32 (1) :1827-1835, 2014

Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization

Hua Wang, Feiping Nie, Heng Huang ; JMLR W&CP 32 (1) :1836-1844, 2014

Learning from Contagion (Without Timestamps)

Kareem Amin, Hoda Heidari, Michael Kearns ; JMLR W&CP 32 (1) :1845-1853, 2014

Stochastic Variational Inference for Bayesian Time Series Models

Matthew Johnson, Alan Willsky ; JMLR W&CP 32 (1) :1854-1862, 2014

A Clockwork RNN

Jan Koutnik, Klaus Greff, Faustino Gomez, Juergen Schmidhuber ; JMLR W&CP 32 (1) :1863-1871, 2014

Estimating Latent-Variable Graphical Models using Moments and Likelihoods

Arun Tejasvi Chaganty, Percy Liang ; JMLR W&CP 32 (1) :1872-1880, 2014

Universal Matrix Completion

Srinadh Bhojanapalli, Prateek Jain ; JMLR W&CP 32 (1) :1881-1889, 2014

Finding Dense Subgraphs via Low-Rank Bilinear Optimization

Dimitris Papailiopoulos, Ioannis Mitliagkas, Alexandros Dimakis, Constantine Caramanis ; JMLR W&CP 32 (1) :1890-1898, 2014

Compositional Morphology for Word Representations and Language Modelling

Jan Botha, Phil Blunsom ; JMLR W&CP 32 (1) :1899-1907, 2014

Learning Polynomials with Neural Networks

Alexandr Andoni, Rina Panigrahy, Gregory Valiant, Li Zhang ; JMLR W&CP 32 (1) :1908-1916, 2014

Exponential Family Matrix Completion under Structural Constraints

Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh ; JMLR W&CP 32 (1) :1917-1925, 2014

Sample-based approximate regularization

Philip Bachman, Amir-Massoud Farahmand, Doina Precup ; JMLR W&CP 32 (1) :1926-1934, 2014

A Compilation Target for Probabilistic Programming Languages

Brooks Paige, Frank Wood ; JMLR W&CP 32 (1) :1935-1943, 2014

Adaptive Monte Carlo via Bandit Allocation

James Neufeld, Andras Gyorgy, Csaba Szepesvari, Dale Schuurmans ; JMLR W&CP 32 (1) :1944-1952, 2014

Efficient Dimensionality Reduction for High-Dimensional Network Estimation

Safiye Celik, Benjamin Logsdon, Su-In Lee ; JMLR W&CP 32 (1) :1953-1961, 2014

Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes

E. Busra Celikkaya, Christian Shelton ; JMLR W&CP 32 (1) :1962-1970, 2014

Doubly Stochastic Variational Bayes for non-Conjugate Inference

Michalis Titsias, Miguel Lázaro-Gredilla ; JMLR W&CP 32 (1) :1971-1979, 2014

Efficient Learning of Mahalanobis Metrics for Ranking

Daryl Lim, Gert Lanckriet ; JMLR W&CP 32 (1) :1980-1988, 2014

GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare

Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal ; JMLR W&CP 32 (1) :1989-1997, 2014

A reversible infinite HMM using normalised random measures

David Knowles, Zoubin Ghahramani, Konstantina Palla ; JMLR W&CP 32 (1) :1998-2006, 2014

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing

Benjamin Haeffele, Eric Young, Rene Vidal ; JMLR W&CP 32 (1) :2007-2015, 2014

Influence Function Learning in Information Diffusion Networks

Nan Du, Yingyu Liang, Maria Balcan, Le Song ; JMLR W&CP 32 (1) :2016-2024, 2014