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JMLR Workshop and Conference Proceedings

Volume 28: Proceedings of The 30th International Conference on Machine Learning

Editors: Sanjoy Dasgupta and David McAllester

Contents:

Cycle 1 Papers

An Optimal Policy for Target Localization with Application to Electron Microscopy

Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak, Pascal Fua ; JMLR W&CP 28 (1) :1-9, 2013

Domain Generalization via Invariant Feature Representation

Krikamol Muandet, David Balduzzi, Bernhard Schölkopf ; JMLR W&CP 28 (1) :10-18, 2013

A Spectral Learning Approach to Range-Only SLAM

Byron Boots, Geoff Gordon ; JMLR W&CP 28 (1) :19-26, 2013

Near-Optimal Bounds for Cross-Validation via Loss Stability

Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii, Andrea Vattani ; JMLR W&CP 28 (1) :27-35, 2013

Sparsity-Based Generalization Bounds for Predictive Sparse Coding

Nishant Mehta, Alexander Gray ; JMLR W&CP 28 (1) :36-44, 2013

Sparse Uncorrelated Linear Discriminant Analysis

Xiaowei Zhang, Delin Chu ; JMLR W&CP 28 (1) :45-52, 2013

Block-Coordinate Frank-Wolfe Optimization for Structural SVMs

Simon Lacoste-Julien, Martin Jaggi, Mark Schmidt, Patrick Pletscher ; JMLR W&CP 28 (1) :53-61, 2013

Fast Probabilistic Optimization from Noisy Gradients

Philipp Hennig ; JMLR W&CP 28 (1) :62-70, 2013

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Ohad Shamir, Tong Zhang ; JMLR W&CP 28 (1) :71-79, 2013

Stochastic Alternating Direction Method of Multipliers

Hua Ouyang, Niao He, Long Tran, Alexander Gray ; JMLR W&CP 28 (1) :80-88, 2013

Noisy Sparse Subspace Clustering

Yu-Xiang Wang, Huan Xu ; JMLR W&CP 28 (1) :89-97, 2013

Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models

Sinead Williamson, Avinava Dubey, Eric Xing ; JMLR W&CP 28 (1) :98-106, 2013

Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction

Sébastien Giguère, François Laviolette, Mario Marchand, Khadidja Sylla ; JMLR W&CP 28 (1) :107-114, 2013

Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures

James Bergstra, Daniel Yamins, David Cox ; JMLR W&CP 28 (1) :115-123, 2013

Gibbs Max-Margin Topic Models with Fast Sampling Algorithms

Jun Zhu, Ning Chen, Hugh Perkins, Bo Zhang ; JMLR W&CP 28 (1) :124-132, 2013

Cost-Sensitive Tree of Classifiers

Zhixiang Xu, Matt Kusner, Kilian Weinberger, Minmin Chen ; JMLR W&CP 28 (1) :133-141, 2013

Learning Hash Functions Using Column Generation

Xi Li, Guosheng Lin, Chunhua Shen, Anton Van den Hengel, Anthony Dick ; JMLR W&CP 28 (1) :142-150, 2013

Combinatorial Multi-Armed Bandit: General Framework and Applications

Wei Chen, Yajun Wang, Yang Yuan ; JMLR W&CP 28 (1) :151-159, 2013

Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization

Yuxin Chen, Andreas Krause ; JMLR W&CP 28 (1) :160-168, 2013

Convex formulations of radius-margin based Support Vector Machines

Huyen Do, Alexandros Kalousis ; JMLR W&CP 28 (1) :169-177, 2013

Modelling Sparse Dynamical Systems with Compressed Predictive State Representations

William L. Hamilton, Mahdi Milani Fard, Joelle Pineau ; JMLR W&CP 28 (1) :178-186, 2013

A Machine Learning Framework for Programming by Example

Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Kalai ; JMLR W&CP 28 (1) :187-195, 2013

Discriminatively Activated Sparselets

Ross Girshick, Hyun Oh Song, Trevor Darrell ; JMLR W&CP 28 (1) :196-204, 2013

The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification

Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman ; JMLR W&CP 28 (1) :205-213, 2013

Fixed-Point Model For Structured Labeling

Quannan Li, Jingdong Wang, David Wipf, Zhuowen Tu ; JMLR W&CP 28 (1) :214-221, 2013

Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation

Boqing Gong, Kristen Grauman, Fei Sha ; JMLR W&CP 28 (1) :222-230, 2013

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

Abhishek Kumar, Vikas Sindhwani, Prabhanjan Kambadur ; JMLR W&CP 28 (1) :231-239, 2013

Principal Component Analysis on non-Gaussian Dependent Data

Fang Han, Han Liu ; JMLR W&CP 28 (1) :240-248, 2013

Learning Linear Bayesian Networks with Latent Variables

Animashree Anandkumar, Daniel Hsu, Adel Javanmard, Sham Kakade ; JMLR W&CP 28 (1) :249-257, 2013

Multiple Identifications in Multi-Armed Bandits

Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan ; JMLR W&CP 28 (1) :258-265, 2013

Learning Optimally Sparse Support Vector Machines

Andrew Cotter, Shai Shalev-Shwartz, Nati Srebro ; JMLR W&CP 28 (1) :266-274, 2013

Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks

Creighton Heaukulani, Zoubin Ghahramani ; JMLR W&CP 28 (1) :275-283, 2013

Efficient Sparse Group Feature Selection via Nonconvex Optimization

Shuo Xiang, Xiaoshen Tong, Jieping Ye ; JMLR W&CP 28 (1) :284-292, 2013

Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model

Min Xiao, Yuhong Guo ; JMLR W&CP 28 (1) :293-301, 2013

Maximum Variance Correction with Application to A* Search

Wenlin Chen, Kilian Weinberger, Yixin Chen ; JMLR W&CP 28 (1) :302-310, 2013

Adaptive Sparsity in Gaussian Graphical Models

Eleanor Wong, Suyash Awate, P. Thomas Fletcher ; JMLR W&CP 28 (1) :311-319, 2013

Average Reward Optimization Objective In Partially Observable Domains

Yuri Grinberg, Doina Precup ; JMLR W&CP 28 (1) :320-328, 2013

Feature Selection in High-Dimensional Classification

Mladen Kolar, Han Liu ; JMLR W&CP 28 (1) :329-337, 2013

Human Boosting

Harsh Pareek, Pradeep Ravikumar ; JMLR W&CP 28 (1) :338-346, 2013

Efficient Dimensionality Reduction for Canonical Correlation Analysis

Haim Avron, Christos Boutsidis, Sivan Toledo, Anastasios Zouzias ; JMLR W&CP 28 (1) :347-355, 2013

Parsing epileptic events using a Markov switching process model for correlated time series

Drausin Wulsin, Emily Fox, Brian Litt ; JMLR W&CP 28 (1) :356-364, 2013

Optimal rates for stochastic convex optimization under Tsybakov noise condition

Aaditya Ramdas, Aarti Singh ; JMLR W&CP 28 (1) :365-373, 2013

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning

Arash Afkanpour, András György, Csaba Szepesvari, Michael Bowling ; JMLR W&CP 28 (1) :374-382, 2013

Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery

Yudong Chen, Constantine Caramanis ; JMLR W&CP 28 (1) :383-391, 2013

Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method

Taiji Suzuki ; JMLR W&CP 28 (1) :392-400, 2013

A New Frontier of Kernel Design for Structured Data

Kilho Shin ; JMLR W&CP 28 (1) :401-409, 2013

Learning with Marginalized Corrupted Features

Laurens Van der Maaten, Minmin Chen, Stephen Tyree, Kilian Weinberger ; JMLR W&CP 28 (1) :410-418, 2013

Approximation properties of DBNs with binary hidden units and real-valued visible units

Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel ; JMLR W&CP 28 (1) :419-426, 2013

Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization

Martin Jaggi ; JMLR W&CP 28 (1) :427-435, 2013

General Functional Matrix Factorization Using Gradient Boosting

Tianqi Chen, Hang Li, Qiang Yang, Yong Yu ; JMLR W&CP 28 (1) :436-444, 2013

Iterative Learning and Denoising in Convolutional Neural Associative Memories

Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi ; JMLR W&CP 28 (1) :445-453, 2013

Scaling Multidimensional Gaussian Processes using Projected Additive Approximations

Elad Gilboa, Yunus Saatçi, John Cunningham, Elad Gilboa ; JMLR W&CP 28 (1) :454-461, 2013

Active Learning for Multi-Objective Optimization

Marcela Zuluaga, Guillaume Sergent, Andreas Krause, Markus Püschel ; JMLR W&CP 28 (1) :462-470, 2013

A Generalized Kernel Approach to Structured Output Learning

Hachem Kadri, Mohammad Ghavamzadeh, Philippe Preux ; JMLR W&CP 28 (1) :471-479, 2013

Efficient Active Learning of Halfspaces: an Aggressive Approach

Alon Gonen, Sivan Sabato, Shai Shalev-Shwartz ; JMLR W&CP 28 (1) :480-488, 2013

Enhanced statistical rankings via targeted data collection

Braxton Osting, Christoph Brune, Stanley Osher ; JMLR W&CP 28 (1) :489-497, 2013

Online Feature Selection for Model-based Reinforcement Learning

Trung Nguyen, Zhuoru Li, Tomi Silander, Tze Yun Leong ; JMLR W&CP 28 (1) :498-506, 2013

ELLA: An Efficient Lifelong Learning Algorithm

Paul Ruvolo, Eric Eaton ; JMLR W&CP 28 (1) :507-515, 2013

A Structural SVM Based Approach for Optimizing Partial AUC

Harikrishna Narasimhan, Shivani Agarwal ; JMLR W&CP 28 (1) :516-524, 2013

Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs

K. S. Sesh Kumar, Francis Bach ; JMLR W&CP 28 (1) :525-533, 2013

Adaptive Task Assignment for Crowdsourced Classification

Chien-Ju Ho, Shahin Jabbari, Jennifer Wortman Vaughan ; JMLR W&CP 28 (1) :534-542, 2013

Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning

Odalric-Ambrym Maillard, Phuong Nguyen, Ronald Ortner, Daniil Ryabko ; JMLR W&CP 28 (1) :543-551, 2013

Better Mixing via Deep Representations

Yoshua Bengio, Gregoire Mesnil, Yann Dauphin, Salah Rifai ; JMLR W&CP 28 (1) :552-560, 2013

Online Latent Dirichlet Allocation with Infinite Vocabulary

Ke Zhai, Jordan Boyd-Graber ; JMLR W&CP 28 (1) :561-569, 2013

Characterizing the Representer Theorem

Yaoliang Yu, Hao Cheng, Dale Schuurmans, Csaba Szepesvari ; JMLR W&CP 28 (1) :570-578, 2013

Dynamical Models and tracking regret in online convex programming

Eric Hall, Rebecca Willett ; JMLR W&CP 28 (1) :579-587, 2013

Large-Scale Bandit Problems and KWIK Learning

Jacob Abernethy, Kareem Amin, Michael Kearns, Moez Draief ; JMLR W&CP 28 (1) :588-596, 2013

Vanishing Component Analysis

Roi Livni, David Lehavi, Sagi Schein, Hila Nachliely, Shai Shalev-Shwartz, Amir Globerson ; JMLR W&CP 28 (1) :597-605, 2013

Learning an Internal Dynamics Model from Control Demonstration

Matthew Golub, Steven Chase, Byron Yu ; JMLR W&CP 28 (1) :606-614, 2013

Robust Structural Metric Learning

Daryl Lim, Gert Lanckriet, Brian McFee ; JMLR W&CP 28 (1) :615-623, 2013

Constrained fractional set programs and their application in local clustering and community detection

Thomas Bühler, Shyam Sundar Rangapuram, Simon Setzer, Matthias Hein ; JMLR W&CP 28 (1) :624-632, 2013

Efficient Semi-supervised and Active Learning of Disjunctions

Nina Balcan, Christopher Berlind, Steven Ehrlich, Yingyu Liang ; JMLR W&CP 28 (1) :633-641, 2013

Convex Adversarial Collective Classification

MohamadAli Torkamani, Daniel Lowd ; JMLR W&CP 28 (1) :642-650, 2013

Rounding Methods for Discrete Linear Classification

Yann Chevaleyre, Frédéerick Koriche, Jean-daniel Zucker ; JMLR W&CP 28 (1) :651-659, 2013

Cycle 2 Papers

Mixture of Mutually Exciting Processes for Viral Diffusion

Shuang-Hong Yang, Hongyuan Zha ; JMLR W&CP 28 (2) :1-9, 2013

Gaussian Process Vine Copulas for Multivariate Dependence

David Lopez-Paz, Jose Miguel Hernández-Lobato, Ghahramani Zoubin ; JMLR W&CP 28 (2) :10-18, 2013

Stochastic Simultaneous Optimistic Optimization

Michal Valko, Alexandra Carpentier, Rémi Munos ; JMLR W&CP 28 (2) :19-27, 2013

Toward Optimal Stratification for Stratified Monte-Carlo Integration

Alexandra Carpentier, Rémi Munos ; JMLR W&CP 28 (2) :28-36, 2013

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye ; JMLR W&CP 28 (2) :37-45, 2013

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities

Truyen Tran, Dinh Phung, Svetha Venkatesh ; JMLR W&CP 28 (2) :46-54, 2013

A Variational Approximation for Topic Modeling of Hierarchical Corpora

Do-kyum Kim, Geoffrey Voelker, Lawrence Saul ; JMLR W&CP 28 (2) :55-63, 2013

Forecastable Component Analysis

Georg Goerg ; JMLR W&CP 28 (2) :64-72, 2013

Ellipsoidal Multiple Instance Learning

Gabriel Krummenacher, Cheng Soon Ong, Joachim Buhmann ; JMLR W&CP 28 (2) :73-81, 2013

Local Low-Rank Matrix Approximation

Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer ; JMLR W&CP 28 (2) :82-90, 2013

Generic Exploration and K-armed Voting Bandits

Tanguy Urvoy, Fabrice Clerot, Raphael Féraud, Sami Naamane ; JMLR W&CP 28 (2) :91-99, 2013

A unifying framework for vector-valued manifold regularization and multi-view learning

Minh Hà Quang, Loris Bazzani, Vittorio Murino ; JMLR W&CP 28 (2) :100-108, 2013

Learning Connections in Financial Time Series

Gartheeban Ganeshapillai, John Guttag, Andrew Lo ; JMLR W&CP 28 (2) :109-117, 2013

Fast dropout training

Sida Wang, Christopher Manning ; JMLR W&CP 28 (2) :118-126, 2013

Scalable Optimization of Neighbor Embedding for Visualization

Zhirong Yang, Jaakko Peltonen, Samuel Kaski ; JMLR W&CP 28 (2) :127-135, 2013

Precision-recall space to correct external indices for biclustering

Blaise Hanczar, Mohamed Nadif ; JMLR W&CP 28 (2) :136-144, 2013

Monochromatic Bi-Clustering

Sharon Wulff, Ruth Urner, Shai Ben-David ; JMLR W&CP 28 (2) :145-153, 2013

Gated Autoencoders with Tied Input Weights

Droniou Alain, Sigaud Olivier ; JMLR W&CP 28 (2) :154-162, 2013

Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings

Nicola Rebagliati ; JMLR W&CP 28 (2) :163-171, 2013

Transition Matrix Estimation in High Dimensional Time Series

Fang Han, Han Liu ; JMLR W&CP 28 (2) :172-180, 2013

Label Partitioning For Sublinear Ranking

Jason Weston, Ameesh Makadia, Hector Yee ; JMLR W&CP 28 (2) :181-189, 2013

Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing

Huayan Wang, Koller Daphne ; JMLR W&CP 28 (2) :190-198, 2013

Collaborative hyperparameter tuning

Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag ; JMLR W&CP 28 (2) :199-207, 2013

SADA: A General Framework to Support Robust Causation Discovery

Ruichu Cai, Zhenjie Zhang, Zhifeng Hao ; JMLR W&CP 28 (2) :208-216, 2013

Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines

Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, Honglak Lee ; JMLR W&CP 28 (2) :217-225, 2013

Sequential Bayesian Search

Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati ; JMLR W&CP 28 (2) :226-234, 2013

Sparse projections onto the simplex

Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch ; JMLR W&CP 28 (2) :235-243, 2013

Modeling Musical Influence with Topic Models

Uri Shalit, Daphna Weinshall, Gal Chechik ; JMLR W&CP 28 (2) :244-252, 2013

Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically

Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya, Gopinath Kanchi ; JMLR W&CP 28 (2) :253-261, 2013

Exploring the Mind: Integrating Questionnaires and fMRI

Esther Salazar, Ryan Bogdan, Adam Gorka, Ahmad Hariri, Lawrence Carin ; JMLR W&CP 28 (2) :262-270, 2013

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions

Quoc Tran Dinh, Anastasios Kyrillidis, Volkan Cevher ; JMLR W&CP 28 (2) :271-279, 2013

A Practical Algorithm for Topic Modeling with Provable Guarantees

Sanjeev Arora, Rong Ge, Yonatan Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu ; JMLR W&CP 28 (2) :280-288, 2013

Distributed training of Large-scale Logistic models

Siddharth Gopal, Yiming Yang ; JMLR W&CP 28 (2) :289-297, 2013

An Adaptive Learning Rate for Stochastic Variational Inference

Rajesh Ranganath, Chong Wang, Blei David, Eric Xing ; JMLR W&CP 28 (2) :298-306, 2013

Margins, Shrinkage, and Boosting

Matus Telgarsky ; JMLR W&CP 28 (2) :307-315, 2013

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment

Billy Chang, Uwe Kruger, Rafal Kustra, Junping Zhang ; JMLR W&CP 28 (2) :316-324, 2013

Large-Scale Learning with Less RAM via Randomization

Daniel Golovin, D. Sculley, Brendan McMahan, Michael Young ; JMLR W&CP 28 (2) :325-333, 2013

Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization

Stefano Ermon, Carla Gomes, Ashish Sabharwal, Bart Selman ; JMLR W&CP 28 (2) :334-342, 2013

Sparse coding for multitask and transfer learning

Andreas Maurer, Massi Pontil, Bernardino Romera-Paredes ; JMLR W&CP 28 (2) :343-351, 2013

Direct Modeling of Complex Invariances for Visual Object Features

Ka Yu Hui ; JMLR W&CP 28 (2) :352-360, 2013

Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data

Jan-Willem van de Meent, Jonathan Bronson, Frank Wood, Ruben Gonzalez Jr., Chris Wiggins ; JMLR W&CP 28 (2) :361-369, 2013

Activized Learning with Uniform Classification Noise

Liu Yang, Steve Hanneke ; JMLR W&CP 28 (2) :370-378, 2013

Cycle 3 Papers

Guided Policy Search

Sergey Levine, Vladlen Koltun ; JMLR W&CP 28 (3) :1-9, 2013

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning

Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama ; JMLR W&CP 28 (3) :10-18, 2013

Gossip-based distributed stochastic bandit algorithms

Balazs Szorenyi, Robert Busa-Fekete, Istvan Hegedus, Robert Ormandi, Mark Jelasity, Balazs Kegl ; JMLR W&CP 28 (3) :19-27, 2013

The Sample-Complexity of General Reinforcement Learning

Tor Lattimore, Marcus Hutter, Peter Sunehag ; JMLR W&CP 28 (3) :28-36, 2013

Hierarchical Regularization Cascade for Joint Learning

Alon Zweig, Daphna Weinshall ; JMLR W&CP 28 (3) :37-45, 2013

Multi-Class Classification with Maximum Margin Multiple Kernel

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh ; JMLR W&CP 28 (3) :46-54, 2013

Bayesian Games for Adversarial Regression Problems

Michael Großhans, Christoph Sawade, Michael Brückner, Tobias Scheffer ; JMLR W&CP 28 (3) :55-63, 2013

Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing

Xi Chen, Qihang Lin, Dengyong Zhou ; JMLR W&CP 28 (3) :64-72, 2013

Markov Network Estimation From Multi-attribute Data

Mladen Kolar, Han Liu, Eric Xing ; JMLR W&CP 28 (3) :73-81, 2013

MILEAGE: Multiple Instance LEArning with Global Embedding

Dan Zhang, Jingrui He, Luo Si, Richard Lawrence ; JMLR W&CP 28 (3) :82-90, 2013

Guaranteed Sparse Recovery under Linear Transformation

Ji Liu, Lei Yuan, Jieping Ye ; JMLR W&CP 28 (3) :91-99, 2013

Learning invariant features by harnessing the aperture problem

Roland Memisevic, Georgios Exarchakis ; JMLR W&CP 28 (3) :100-108, 2013

Efficient Ranking from Pairwise Comparisons

Fabian Wauthier, Michael Jordan, Nebojsa Jojic ; JMLR W&CP 28 (3) :109-117, 2013

Differentially Private Learning with Kernels

Prateek Jain, Abhradeep Thakurta ; JMLR W&CP 28 (3) :118-126, 2013

Thompson Sampling for Contextual Bandits with Linear Payoffs

Shipra Agrawal, Navin Goyal ; JMLR W&CP 28 (3) :127-135, 2013

Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space

Javier Almingol, Lui Montesano, Manuel Lopes ; JMLR W&CP 28 (3) :136-144, 2013

Inference algorithms for pattern-based CRFs on sequence data

Rustem Takhanov, Vladimir Kolmogorov ; JMLR W&CP 28 (3) :145-153, 2013

One-Bit Compressed Sensing: Provable Support and Vector Recovery

Sivakant Gopi, Praneeth Netrapalli, Prateek Jain, Aditya Nori ; JMLR W&CP 28 (3) :154-162, 2013

Tensor Analyzers

Yichuan Tang, Ruslan Salakhutdinov, Geoffrey Hinton ; JMLR W&CP 28 (3) :163-171, 2013

Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression

Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis Bach ; JMLR W&CP 28 (3) :172-180, 2013

Learning from Human-Generated Lists

Kwang-Sung Jun, Jerry Zhu, Burr Settles, Timothy Rogers ; JMLR W&CP 28 (3) :181-189, 2013

A Fast and Exact Energy Minimization Algorithm for Cycle MRFs

Huayan Wang, Koller Daphne ; JMLR W&CP 28 (3) :190-198, 2013

Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning

Daniel Tarlow, Kevin Swersky, Laurent Charlin, Ilya Sutskever, Rich Zemel ; JMLR W&CP 28 (3) :199-207, 2013

An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation

Nicholas Bryan, Gautham Mysore ; JMLR W&CP 28 (3) :208-216, 2013

Estimating Unknown Sparsity in Compressed Sensing

Miles Lopes ; JMLR W&CP 28 (3) :217-225, 2013

MAD-Bayes: MAP-based Asymptotic Derivations from Bayes

Tamara Broderick, Brian Kulis, Michael Jordan ; JMLR W&CP 28 (3) :226-234, 2013

The Most Generative Maximum Margin Bayesian Networks

Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf ; JMLR W&CP 28 (3) :235-243, 2013

Fastfood - Computing Hilbert Space Expansions in loglinear time

Quoc Le, Tamas Sarlos, Alexander Smola ; JMLR W&CP 28 (3) :244-252, 2013

Joint Transfer and Batch-mode Active Learning

Rita Chattopadhyay, Wei Fan, Ian Davidson, Sethuraman Panchanathan, Jieping Ye ; JMLR W&CP 28 (3) :253-261, 2013

Message passing with l1 penalized KL minimization

Yuan Qi, Yandong Guo ; JMLR W&CP 28 (3) :262-270, 2013

Mean Reversion with a Variance Threshold

Marco Cuturi, Alexandre D’Aspremont ; JMLR W&CP 28 (3) :271-279, 2013

Top-down particle filtering for Bayesian decision trees

Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh ; JMLR W&CP 28 (3) :280-288, 2013

Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations

Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon ; JMLR W&CP 28 (3) :289-297, 2013

Robust and Discriminative Self-Taught Learning

Hua Wang, Feiping Nie, Heng Huang ; JMLR W&CP 28 (3) :298-306, 2013

Safe Policy Iteration

Matteo Pirotta, Marcello Restelli, Alessio Pecorino, Daniele Calandriello ; JMLR W&CP 28 (3) :307-315, 2013

Unfolding Latent Tree Structures using 4th Order Tensors

Mariya Ishteva, Haesun Park, Le Song ; JMLR W&CP 28 (3) :316-324, 2013

Learning Fair Representations

Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, Cynthia Dwork ; JMLR W&CP 28 (3) :325-333, 2013

Hierarchical Tensor Decomposition of Latent Tree Graphical Models

Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing, Haesun Park ; JMLR W&CP 28 (3) :334-342, 2013

No more pesky learning rates

Tom Schaul, Sixin Zhang, Yann LeCun ; JMLR W&CP 28 (3) :343-351, 2013

Multi-View Clustering and Feature Learning via Structured Sparsity

Hua Wang, Feiping Nie, Heng Huang ; JMLR W&CP 28 (3) :352-360, 2013

Planning by Prioritized Sweeping with Small Backups

Harm Van Seijen, Rich Sutton ; JMLR W&CP 28 (3) :361-369, 2013

Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation

Sebastian Brechtel, Tobias Gindele, Rdiger Dillmann ; JMLR W&CP 28 (3) :370-378, 2013

Learning Heteroscedastic Models by Convex Programming under Group Sparsity

Arnak Dalalyan, Mohamed Hebiri, Katia Meziani, Joseph Salmon ; JMLR W&CP 28 (3) :379-387, 2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels

Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang, Ivan Marsic ; JMLR W&CP 28 (3) :388-395, 2013

A Local Algorithm for Finding Well-Connected Clusters

Zeyuan Allen Zhu, Silvio Lattanzi, Vahab Mirrokni ; JMLR W&CP 28 (3) :396-404, 2013

Efficient Multi-label Classification with Many Labels

Wei Bi, James Kwok ; JMLR W&CP 28 (3) :405-413, 2013

Spectral Compressed Sensing via Structured Matrix Completion

Yuxin Chen, Yuejie Chi ; JMLR W&CP 28 (3) :414-422, 2013

Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model

Ming Yang, Yingming Li, Zhongfei Zhang (Zhejiang University) ; JMLR W&CP 28 (3) :423-431, 2013

Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images

Kyunghyun Cho ; JMLR W&CP 28 (3) :432-440, 2013

On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions

Purushottam Kar, Bharath Sriperumbudur, Prateek Jain, Harish Karnick ; JMLR W&CP 28 (3) :441-449, 2013

Non-Linear Stationary Subspace Analysis with Application to Video Classification

Mahsa Baktashmotlagh, Mehrtash Harandi, Abbas Bigdeli, Brian Lovell, Mathieu Salzmann ; JMLR W&CP 28 (3) :450-458, 2013

Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy

Jean Honorio, Jaakkola Tommi ; JMLR W&CP 28 (3) :459-467, 2013

That was fast! Speeding up NN search of high dimensional distributions.

Emanuele Coviello, Adeel Mumtaz, Antoni Chan, Gert Lanckriet ; JMLR W&CP 28 (3) :468-476, 2013

Entropic Affinities: Properties and Efficient Numerical Computation

Max Vladymyrov, Miguel Carreira-Perpinan ; JMLR W&CP 28 (3) :477-485, 2013

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

Cijo Jose, Prasoon Goyal, Parv Aggrwal, Manik Varma ; JMLR W&CP 28 (3) :486-494, 2013

Temporal Difference Methods for the Variance of the Reward To Go

Aviv Tamar, Dotan Di Castro, Shie Mannor ; JMLR W&CP 28 (3) :495-503, 2013

\(\propto\)SVM for Learning with Label Proportions

Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony, Shih-Fu Chang ; JMLR W&CP 28 (3) :504-512, 2013

Parameter Learning and Convergent Inference for Dense Random Fields

Philipp Kraehenbuehl, Vladlen Koltun ; JMLR W&CP 28 (3) :513-521, 2013

Loss-Proportional Subsampling for Subsequent ERM

Paul Mineiro, Nikos Karampatziakis ; JMLR W&CP 28 (3) :522-530, 2013

Scalable Simple Random Sampling and Stratified Sampling

Xiangrui Meng ; JMLR W&CP 28 (3) :531-539, 2013

Riemannian Similarity Learning

Li Cheng ; JMLR W&CP 28 (3) :540-548, 2013

On Compact Codes for Spatially Pooled Features

Yangqing Jia, Oriol Vinyals, Trevor Darrell ; JMLR W&CP 28 (3) :549-557, 2013

Dynamic Covariance Models for Multivariate Financial Time Series

Yue Wu, Jose Miguel Hernandez-Lobato, Ghahramani Zoubin ; JMLR W&CP 28 (3) :558-566, 2013

Revisiting the Nystrom method for improved large-scale machine learning

Alex Gittens, Michael Mahoney ; JMLR W&CP 28 (3) :567-575, 2013

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals

Kazuyoshi Yoshii, Ryota Tomioka, Daichi Mochihashi, Masataka Goto ; JMLR W&CP 28 (3) :576-584, 2013

A Unified Robust Regression Model for Lasso-like Algorithms

Wenzhuo Yang, Huan Xu ; JMLR W&CP 28 (3) :585-593, 2013

Quickly Boosting Decision Trees – Pruning Underachieving Features Early

Ron Appel, Thomas Fuchs, Piotr Dollar, Pietro Perona ; JMLR W&CP 28 (3) :594-602, 2013

On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance

Aditya Menon, Harikrishna Narasimhan, Shivani Agarwal, Sanjay Chawla ; JMLR W&CP 28 (3) :603-611, 2013

Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment

Jason Chuang, Sonal Gupta, Christopher Manning, Jeffrey Heer ; JMLR W&CP 28 (3) :612-620, 2013

Online Kernel Learning with a Near Optimal Sparsity Bound

Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He ; JMLR W&CP 28 (3) :621-629, 2013

Spectral Learning of Hidden Markov Models from Dynamic and Static Data

Tzu-Kuo Huang, Jeff Schneider ; JMLR W&CP 28 (3) :630-638, 2013

Analogy-preserving Semantic Embedding for Visual Object Categorization

Sung Ju Hwang, Kristen Grauman, Fei Sha ; JMLR W&CP 28 (3) :639-647, 2013

Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training

Michael Izbicki ; JMLR W&CP 28 (3) :648-656, 2013

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach

Sunil Gupta, Dinh Phung, Svetha Venkatesh ; JMLR W&CP 28 (3) :657-665, 2013

Modeling Information Propagation with Survival Theory

Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schlkopf ; JMLR W&CP 28 (3) :666-674, 2013

Better Rates for Any Adversarial Deterministic MDP

Ofer Dekel, Elad Hazan ; JMLR W&CP 28 (3) :675-683, 2013

ABC Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis ; JMLR W&CP 28 (3) :684-692, 2013

Sharp Generalization Error Bounds for Randomly-projected Classifiers

Robert Durrant, Ata Kaban ; JMLR W&CP 28 (3) :693-701, 2013

On learning parametric-output HMMs

Aryeh Kontorovich, Boaz Nadler, Roi Weiss ; JMLR W&CP 28 (3) :702-710, 2013

LDA Topic Model with Soft Assignment of Descriptors to Words

Daphna Weinshall, Gal Levi, Dmitri Hanukaev ; JMLR W&CP 28 (3) :711-719, 2013

On autoencoder scoring

Hanna Kamyshanska, Roland Memisevic ; JMLR W&CP 28 (3) :720-728, 2013

Infinite Markov-Switching Maximum Entropy Discrimination Machines

Sotirios Chatzis ; JMLR W&CP 28 (3) :729-737, 2013

A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers

Pascal Germain, Amaury Habrard, Franois Laviolette, Emilie Morvant ; JMLR W&CP 28 (3) :738-746, 2013

Sparse PCA through Low-rank Approximations

Dimitris Papailiopoulos, Alexandros Dimakis, Stavros Korokythakis ; JMLR W&CP 28 (3) :747-755, 2013

Computation-Risk Tradeoffs for Covariance-Thresholded Regression

Dinah Shender, John Lafferty ; JMLR W&CP 28 (3) :756-764, 2013

Exact Rule Learning via Boolean Compressed Sensing

Dmitry Malioutov, Kush Varshney ; JMLR W&CP 28 (3) :765-773, 2013

Robust Sparse Regression under Adversarial Corruption

Yudong Chen, Constantine Caramanis, Shie Mannor ; JMLR W&CP 28 (3) :774-782, 2013

Optimization with First-Order Surrogate Functions

Julien Mairal ; JMLR W&CP 28 (3) :783-791, 2013

Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation

Hema Koppula, Ashutosh Saxena ; JMLR W&CP 28 (3) :792-800, 2013

Consistency versus Realizable H-Consistency for Multiclass Classification

Phil Long, Rocco Servedio ; JMLR W&CP 28 (3) :801-809, 2013

Feature Multi-Selection among Subjective Features

Sivan Sabato, Adam Kalai ; JMLR W&CP 28 (3) :810-818, 2013

Domain Adaptation under Target and Conditional Shift

Kun Zhang, Bernhard Schlkopf, Krikamol Muandet, Zhikun Wang ; JMLR W&CP 28 (3) :819-827, 2013

Collective Stability in Structured Prediction: Generalization from One Example

Ben London, Bert Huang, Ben Taskar, Lise Getoor ; JMLR W&CP 28 (3) :828-836, 2013

Stable Coactive Learning via Perturbation

Karthik Raman, Thorsten Joachims, Pannaga Shivaswamy, Tobias Schnabel ; JMLR W&CP 28 (3) :837-845, 2013

Max-Margin Multiple-Instance Dictionary Learning

Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, Zhuowen Tu ; JMLR W&CP 28 (3) :846-854, 2013

Fast Semidifferential-based Submodular Function Optimization

Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes ; JMLR W&CP 28 (3) :855-863, 2013

Kernelized Bayesian Matrix Factorization

Mehmet Gönen, Suleiman Khan, Samuel Kaski ; JMLR W&CP 28 (3) :864-872, 2013

Learning the Structure of Sum-Product Networks

Robert Gens, Domingos Pedro ; JMLR W&CP 28 (3) :873-880, 2013

Quantile Regression for Large-scale Applications

Jiyan Yang, Xiangrui Meng, Michael Mahoney ; JMLR W&CP 28 (3) :881-887, 2013

Robust Regression on MapReduce

Xiangrui Meng, Michael Mahoney ; JMLR W&CP 28 (3) :888-896, 2013

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines

Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama ; JMLR W&CP 28 (3) :897-905, 2013

One-Pass AUC Optimization

Wei Gao, Rong Jin, Shenghuo Zhu, Zhi-Hua Zhou ; JMLR W&CP 28 (3) :906-914, 2013

Learning Convex QP Relaxations for Structured Prediction

Jeremy Jancsary, Sebastian Nowozin, Carsten Rother ; JMLR W&CP 28 (3) :915-923, 2013

Concurrent Reinforcement Learning from Customer Interactions

David Silver, Leonard Newnham, David Barker, Suzanne Weller, Jason McFall ; JMLR W&CP 28 (3) :924-932, 2013

Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner

Peng Sun, Jie Zhou ; JMLR W&CP 28 (3) :933-941, 2013

Stability and Hypothesis Transfer Learning

Ilja Kuzborskij, Francesco Orabona ; JMLR W&CP 28 (3) :942-950, 2013

Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models

Mohammad Emtiyaz Khan, Aleksandr Aravkin, Michael Friedlander, Matthias Seeger ; JMLR W&CP 28 (3) :951-959, 2013

Modeling Temporal Evolution and Multiscale Structure in Networks

Tue Herlau, Morten Mrup, Mikkel Schmidt ; JMLR W&CP 28 (3) :960-968, 2013

Dependent Normalized Random Measures

Changyou Chen, Vinayak Rao, Wray Buntine, Yee Whye Teh ; JMLR W&CP 28 (3) :969-977, 2013

Fast Max-Margin Matrix Factorization with Data Augmentation

Minjie Xu, Jun Zhu, Bo Zhang ; JMLR W&CP 28 (3) :978-986, 2013

Natural Image Bases to Represent Neuroimaging Data

Ashish Gupta, Murat Ayhan, Anthony Maida ; JMLR W&CP 28 (3) :987-994, 2013

Breaking the Small Cluster Barrier of Graph Clustering

Nir Ailon, Yudong Chen, Huan Xu ; JMLR W&CP 28 (3) :995-1003, 2013

Approximate Inference in Collective Graphical Models

Daniel Sheldon, Tao Sun, Akshat Kumar, Tom Dietterich ; JMLR W&CP 28 (3) :1004-1012, 2013

Scaling the Indian Buffet Process via Submodular Maximization

Colorado Reed, Ghahramani Zoubin ; JMLR W&CP 28 (3) :1013-1021, 2013

Mini-Batch Primal and Dual Methods for SVMs

Martin Takac, Avleen Bijral, Peter Richtarik, Nati Srebro ; JMLR W&CP 28 (3) :1022-1030, 2013

The lasso, persistence, and cross-validation

Darren Homrighausen, Daniel McDonald ; JMLR W&CP 28 (3) :1031-1039, 2013

Spectral Experts for Estimating Mixtures of Linear Regressions

Arun Tejasvi Chaganty, Percy Liang ; JMLR W&CP 28 (3) :1040-1048, 2013

Distribution to Distribution Regression

Junier Oliva, Barnabas Poczos, Jeff Schneider ; JMLR W&CP 28 (3) :1049-1057, 2013

Regularization of Neural Networks using DropConnect

Li Wan, Matthew Zeiler, Sixin Zhang, Yann Le Cun, Rob Fergus ; JMLR W&CP 28 (3) :1058-1066, 2013

Gaussian Process Kernels for Pattern Discovery and Extrapolation

Andrew Wilson, Ryan Adams ; JMLR W&CP 28 (3) :1067-1075, 2013

Anytime Representation Learning

Zhixiang Xu, Matt Kusner, Gao Huang, Kilian Weinberger ; JMLR W&CP 28 (3) :1076-1084, 2013

Algorithms for Direct 0–1 Loss Optimization in Binary Classification

Tan Nguyen, Scott Sanner ; JMLR W&CP 28 (3) :1085-1093, 2013

Top-k Selection based on Adaptive Sampling of Noisy Preferences

Robert Busa-Fekete, Balazs Szorenyi, Weiwei Cheng, Paul Weng, Eyke Huellermeier ; JMLR W&CP 28 (3) :1094-1102, 2013

The Extended Parameter Filter

Yusuf Bugra Erol, Lei Li, Bharath Ramsundar, Russell Stuart ; JMLR W&CP 28 (3) :1103-1111, 2013

Exploiting Ontology Structures and Unlabeled Data for Learning

Nina Balcan, Avrim Blum, Yishay Mansour ; JMLR W&CP 28 (3) :1112-1120, 2013

O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions

Lijun Zhang, Tianbao Yang, Rong Jin, Xiaofei He ; JMLR W&CP 28 (3) :1121-1129, 2013

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization

Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Huellermeier ; JMLR W&CP 28 (3) :1130-1138, 2013

On the importance of initialization and momentum in deep learning

Ilya Sutskever, James Martens, George Dahl, Geoffrey Hinton ; JMLR W&CP 28 (3) :1139-1147, 2013

A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines

Kostadin Georgiev, Preslav Nakov ; JMLR W&CP 28 (3) :1148-1156, 2013

Intersecting singularities for multi-structured estimation

Emile Richard, Francis BACH, Jean-Philippe Vert ; JMLR W&CP 28 (3) :1157-1165, 2013

Structure Discovery in Nonparametric Regression through Compositional Kernel Search

David Duvenaud, James Lloyd, Roger Grosse, Joshua Tenenbaum, Ghahramani Zoubin ; JMLR W&CP 28 (3) :1166-1174, 2013

Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events

Lisa Friedland, David Jensen, Michael Lavine ; JMLR W&CP 28 (3) :1175-1183, 2013

Smooth Operators

Steffen Grunewalder, Gretton Arthur, John Shawe-Taylor ; JMLR W&CP 28 (3) :1184-1192, 2013

The Cross-Entropy Method Optimizes for Quantiles

Sergiu Goschin, Ari Weinstein, Michael Littman ; JMLR W&CP 28 (3) :1193-1201, 2013

Topic Discovery through Data Dependent and Random Projections

Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama ; JMLR W&CP 28 (3) :1202-1210, 2013

Bayesian Learning of Recursively Factored Environments

Marc Bellemare, Joel Veness, Michael Bowling ; JMLR W&CP 28 (3) :1211-1219, 2013

Selective sampling algorithms for cost-sensitive multiclass prediction

Alekh Agarwal ; JMLR W&CP 28 (3) :1220-1228, 2013

The Bigraphical Lasso

Alfredo Kalaitzis, John Lafferty, Neil Lawrence, Shuheng Zhou ; JMLR W&CP 28 (3) :1229-1237, 2013

Almost Optimal Exploration in Multi-Armed Bandits

Zohar Karnin, Tomer Koren, Oren Somekh ; JMLR W&CP 28 (3) :1238-1246, 2013

Deep Canonical Correlation Analysis

Galen Andrew, Raman Arora, Jeff Bilmes, Karen Livescu ; JMLR W&CP 28 (3) :1247-1255, 2013

Consistency of Online Random Forests

Misha Denil, David Matheson, De Freitas Nando ; JMLR W&CP 28 (3) :1256-1264, 2013

Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting

Matt Wytock, Zico Kolter ; JMLR W&CP 28 (3) :1265-1273, 2013

Fast Image Tagging

Minmin Chen, Alice Zheng, Kilian Weinberger ; JMLR W&CP 28 (3) :1274-1282, 2013

Expensive Function Optimization with Stochastic Binary Outcomes

Matthew Tesch, Jeff Schneider, Howie Choset ; JMLR W&CP 28 (3) :1283-1291, 2013

Multiple-source cross-validation

Krzysztof Geras, Charles Sutton ; JMLR W&CP 28 (3) :1292-1300, 2013

Learning Triggering Kernels for Multi-dimensional Hawkes Processes

Ke Zhou, Hongyuan Zha, Le Song ; JMLR W&CP 28 (3) :1301-1309, 2013

On the difficulty of training recurrent neural networks

Razvan Pascanu, Tomas Mikolov, Yoshua Bengio ; JMLR W&CP 28 (3) :1310-1318, 2013

Maxout Networks

Ian Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio ; JMLR W&CP 28 (3) :1319-1327, 2013

Predictable Dual-View Hashing

Mohammad Rastegari, Jonghyun Choi, Shobeir Fakhraei, Daume Hal, Larry Davis ; JMLR W&CP 28 (3) :1328-1336, 2013

Deep learning with COTS HPC systems

Adam Coates, Brody Huval, Tao Wang, David Wu, Bryan Catanzaro, Ng Andrew ; JMLR W&CP 28 (3) :1337-1345, 2013

Nonparametric Mixture of Gaussian Processes with Constraints

James Ross, Jennifer Dy ; JMLR W&CP 28 (3) :1346-1354, 2013

Scale Invariant Conditional Dependence Measures

Sashank J Reddi, Barnabas Poczos ; JMLR W&CP 28 (3) :1355-1363, 2013

Learning Policies for Contextual Submodular Prediction

Stephane Ross, Jiaji Zhou, Yisong Yue, Debadeepta Dey, Drew Bagnell ; JMLR W&CP 28 (3) :1364-1372, 2013

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation

Minje Kim, Paris Smaragdis ; JMLR W&CP 28 (3) :1373-1381, 2013

Safe Screening of Non-Support Vectors in Pathwise SVM Computation

Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi ; JMLR W&CP 28 (3) :1382-1390, 2013

Cost-sensitive Multiclass Classification Risk Bounds

Bernardo Ávila Pires, Csaba Szepesvari, Mohammad Ghavamzadeh ; JMLR W&CP 28 (3) :1391-1399, 2013

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion

Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian, Anil Jain ; JMLR W&CP 28 (3) :1400-1408, 2013

Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models

Umut Simsekli, Ali Taylan Cemgil, Yusuf Kenan Yilmaz ; JMLR W&CP 28 (3) :1409-1417, 2013

Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration

Volodymyr Kuleshov ; JMLR W&CP 28 (3) :1418-1425, 2013

Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling

Amr Ahmed, Liangjie Hong, Alexander Smola ; JMLR W&CP 28 (3) :1426-1434, 2013

Tree-Independent Dual-Tree Algorithms

Ryan Curtin, William March, Parikshit Ram, David Anderson, Alexander Gray, Charles Isbell ; JMLR W&CP 28 (3) :1435-1443, 2013

Multilinear Multitask Learning

Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze, Massimiliano Pontil ; JMLR W&CP 28 (3) :1444-1452, 2013

Online Learning under Delayed Feedback

Pooria Joulani, Andras Gyorgy, Csaba Szepesvari ; JMLR W&CP 28 (3) :1453-1461, 2013

Adaptive Hamiltonian and Riemann Manifold Monte Carlo

Ziyu Wang, Shakir Mohamed, De Freitas Nando ; JMLR W&CP 28 (3) :1462-1470, 2013

Coco-Q: Learning in Stochastic Games with Side Payments

Eric Sodomka, Elizabeth Hilliard, Michael Littman, Amy Greenwald ; JMLR W&CP 28 (3) :1471-1479, 2013

On A Nonlinear Generalization of Sparse Coding and Dictionary Learning

Jeffrey Ho, Yuchen Xie, Baba Vemuri ; JMLR W&CP 28 (3) :1480-1488, 2013

Estimation of Causal Peer Influence Effects

Panos Toulis, Edward Kao ; JMLR W&CP 28 (3) :1489-1497, 2013