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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

Andres Munoz Medina, Mehryar Mohri ; 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, Guibas Leonidas, 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