JMLR Volume 16

• Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling

  Xi Chen, Qihang Lin, Dengyong Zhou (1):1−46, 2015 PDF BibTeX

• Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition

  Qi Yan, Jieping Ye, Xiaotong Shen (2):47−75, 2015 PDF BibTeX

• Statistical Topological Data Analysis using Persistence Landscapes

  Peter Bubenik (3):77−102, 2015 PDF BibTeX

• Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework

  Michael Thon, Herbert Jaeger (4):103−147, 2015 PDF BibTeX

• SAMOA: Scalable Advanced Massive Online Analysis

  Gianmarco De Francisci Morales, Albert Bifet (5):149−153, 2015 codePDF BibTeX

• Online Learning via Sequential Complexities

  Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari (6):155−186, 2015 PDF BibTeX

• Learning Transformations for Clustering and Classification

  Qiang Qiu, Guillermo Sapiro (7):187−225, 2015 PDF BibTeX

• Multi-layered Gesture Recognition with Kinect

  Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao, Debin Zhao (8):227−254, 2015 PDF BibTeX

• Multimodal Gesture Recognition via Multiple Hypotheses Rescoring

  Vassilis Pitsikalis, Athanasios Katsamanis, Stavros Theodorakis, Petros Maragos (9):255−284, 2015 PDF BibTeX

• An Asynchronous Parallel Stochastic Coordinate Descent Algorithm

  Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar (10):285−322, 2015 PDF BibTeX

• Geometric Intuition and Algorithms for Ev--SVM

  Álvaro Barbero, Akiko Takeda, Jorge López (11):323−369, 2015 PDF BibTeX

• Composite Self-Concordant Minimization

  Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher (12):371−416, 2015 PDF BibTeX

• Network Granger Causality with Inherent Grouping Structure

  Sumanta Basu, Ali Shojaie, George Michailidis (13):417−453, 2015 PDF BibTeX

• Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints

  Nir Ailon, Yudong Chen, Huan Xu (14):455−490, 2015 PDF BibTeX

• A Classification Module for Genetic Programming Algorithms in JCLEC

  Alberto Cano, José María Luna, Amelia Zafra, Sebastián Ventura (15):491−494, 2015 codePDF BibTeX

• AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models

  André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing (16):495−545, 2015 PDF BibTeX

• Introducing CURRENNT: The Munich Open-Source CUDA RecurREnt Neural Network Toolkit

  Felix Weninger (17):547−551, 2015 codePDF BibTeX

• The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R

  Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu (18):553−557, 2015 codewebpagePDF BibTeX

• Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima

  Po-Ling Loh, Martin J. Wainwright (19):559−616, 2015 PDF BibTeX

• Generalized Hierarchical Kernel Learning

  Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan (20):617−652, 2015 PDF BibTeX

• Discrete Restricted Boltzmann Machines

  Guido Montúfar, Jason Morton (21):653−672, 2015 PDF BibTeX

• Evolving GPU Machine Code

  Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco, Le, ro Fontoura Cupertino (22):673−712, 2015 PDF BibTeX

• A Compression Technique for Analyzing Disagreement-Based Active Learning

  Yair Wiener, Steve Hanneke, Ran El-Yaniv (23):713−745, 2015 PDF BibTeX

• Response-Based Approachability with Applications to Generalized No-Regret Problems

  Andrey Bernstein, Nahum Shimkin (24):747−773, 2015 PDF BibTeX

• Strong Consistency of the Prototype Based Clustering in Probabilistic Space

  Vladimir Nikulin (25):775−785, 2015 PDF BibTeX

• Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm

  Pascal Germain, Alexandre Lacasse, Francois Laviolette, Mario March, Jean-Francis Roy (26):787−860, 2015 PDF BibTeX

• A Statistical Perspective on Algorithmic Leveraging

  Ping Ma, Michael W. Mahoney, Bin Yu (27):861−911, 2015 PDF BibTeX

• Distributed Matrix Completion and Robust Factorization

  Lester Mackey, Ameet Talwalkar, Michael I. Jordan (28):913−960, 2015 PDF BibTeX

• Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection

  Piotr Pokarowski, Jan Mielniczuk (29):961−992, 2015 PDF BibTeX

• Learning with the Maximum Correntropy Criterion Induced Losses for Regression

  Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A.K. Suykens (30):993−1034, 2015 PDF BibTeX

• Joint Estimation of Multiple Precision Matrices with Common Structures

  Wonyul Lee, Yufeng Liu (31):1035−1062, 2015 PDF BibTeX

• Lasso Screening Rules via Dual Polytope Projection

  Jie Wang, Peter Wonka, Jieping Ye (32):1063−1101, 2015 PDF BibTeX

• Fast Cross-Validation via Sequential Testing

  Tammo Krueger, Danny Panknin, Mikio Braun (33):1103−1155, 2015 PDF BibTeX

• Learning the Structure and Parameters of Large-Population Graphical Games from Behavioral Data

  Jean Honorio, Luis Ortiz (34):1157−1210, 2015 PDF BibTeX

• Local Identification of Overcomplete Dictionaries

  Karin Schnass (35):1211−1242, 2015 erratumPDF BibTeX

• Encog: Library of Interchangeable Machine Learning Models for Java and C#

  Jeff Heaton (36):1243−1247, 2015 codewebpagePDF BibTeX

• Perturbed Message Passing for Constraint Satisfaction Problems

  Siamak Ravanbakhsh, Russell Greiner (37):1249−1274, 2015 PDF BibTeX

• Learning Sparse Low-Threshold Linear Classifiers

  Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro, Daniel Hsu, Tong Zhang (38):1275−1304, 2015 PDF BibTeX

• Learning Equilibria of Games via Payoff Queries

  John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani (39):1305−1344, 2015 PDF BibTeX

• Rationality, Optimism and Guarantees in General Reinforcement Learning

  Peter Sunehag, Marcus Hutter (40):1345−1390, 2015 PDF BibTeX

• The Algebraic Combinatorial Approach for Low-Rank Matrix Completion

  Franz J.Király, Louis Theran, Ryota Tomioka (41):1391−1436, 2015 PDF BibTeX

• A Comprehensive Survey on Safe Reinforcement Learning

  Javier García, Fern, o Fernández (42):1437−1480, 2015 PDF BibTeX

• Second-Order Non-Stationary Online Learning for Regression

  Edward Moroshko, Nina Vaits, Koby Crammer (43):1481−1517, 2015 PDF BibTeX

• A Finite Sample Analysis of the Naive Bayes Classifier

  Daniel Berend, Aryeh Kontorovich (44):1519−1545, 2015 PDF BibTeX

• Flexible High-Dimensional Classification Machines and Their Asymptotic Properties

  Xingye Qiao, Lingsong Zhang (45):1547−1572, 2015 PDF BibTeX

• RLPy: A Value-Function-Based Reinforcement Learning Framework for Education and Research

  Alborz Geramifard, Christoph Dann, Robert H. Klein, William Dabney, Jonathan P. How (46):1573−1578, 2015 codePDF BibTeX

• Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery

  Han Liu, Lie Wang, Tuo Zhao (47):1579−1606, 2015 PDF BibTeX

• Bayesian Nonparametric Crowdsourcing

  Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh, Fern, o Perez-Cruz (48):1607−1627, 2015 PDF BibTeX

• Approximate Modified Policy Iteration and its Application to the Game of Tetris

  Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon, Boris Lesner, Matthieu Geist (49):1629−1676, 2015 PDF BibTeX

• Preface to this Special Issue

  Alex Gammerman, Vladimir Vovk (50):1677−1681, 2015 PDF BibTeX

• V-Matrix Method of Solving Statistical Inference Problems

  Vladimir Vapnik, Rauf Izmailov (51):1683−1730, 2015 PDF BibTeX

• Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization

  Adith Swaminathan, Thorsten Joachims (52):1731−1755, 2015 PDF BibTeX

• Optimal Estimation of Low Rank Density Matrices

  Vladimir Koltchinskii, Dong Xia (53):1757−1792, 2015 PDF BibTeX

• Fast Rates in Statistical and Online Learning

  Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson (54):1793−1861, 2015 PDF BibTeX

• On the Asymptotic Normality of an Estimate of a Regression Functional

  László Györfi, Harro Walk (55):1863−1877, 2015 PDF BibTeX

• Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation

  Pierre C. Bellec, Alexandre B. Tsybakov (56):1879−1892, 2015 PDF BibTeX

• Exceptional Rotations of Random Graphs: A VC Theory

  Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck, Luc Devroye, Gábor Lugosi, Roberto Imbuzeiro Oliveira (57):1893−1922, 2015 PDF BibTeX

• Semi-Supervised Interpolation in an Anticausal Learning Scenario

  Dominik Janzing, Bernhard Schölkopf (58):1923−1948, 2015 PDF BibTeX

• Towards an Axiomatic Approach to Hierarchical Clustering of Measures

  Philipp Thomann, Ingo Steinwart, Nico Schmid (59):1949−2002, 2015 PDF BibTeX

• Predicting a Switching Sequence of Graph Labelings

  Mark Herbster, Stephen Pasteris, Massimiliano Pontil (60):2003−2022, 2015 PDF BibTeX

• Learning Using Privileged Information: Similarity Control and Knowledge Transfer

  Vladimir Vapnik, Rauf Izmailov (61):2023−2049, 2015 PDF BibTeX

• Alexey Chervonenkis's Bibliography: Introductory Comments

  Alex Gammerman, Vladimir Vovk (62):2051−2066, 2015 PDF BibTeX

• Alexey Chervonenkis's Bibliography

  Alex Gammerman, Vladimir Vovk (63):2067−2080, 2015 PDF BibTeX

• Photonic Delay Systems as Machine Learning Implementations

  Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer (64):2081−2097, 2015 PDF BibTeX

• On Linearly Constrained Minimum Variance Beamforming

  Jian Zhang, Chao Liu (65):2099−2145, 2015 PDF BibTeX

• Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets

  Sofia Triantafillou, Ioannis Tsamardinos (66):2147−2205, 2015 PDF BibTeX

• Existence and Uniqueness of Proper Scoring Rules

  Evgeni Y. Ovcharov (67):2207−2230, 2015 PDF BibTeX

• Adaptive Strategy for Stratified Monte Carlo Sampling

  Alexandra Carpentier, Remi Munos, András Antos (68):2231−2271, 2015 PDF BibTeX

• Concave Penalized Estimation of Sparse Gaussian Bayesian Networks

  Bryon Aragam, Qing Zhou (69):2273−2328, 2015 PDF BibTeX

• Agnostic Insurability of Model Classes

  Narayana Santhanam, Venkat Anantharam (70):2329−2355, 2015 PDF BibTeX

• Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies

  Kazuho Watanabe, Teemu Roos (71):2357−2375, 2015 PDF BibTeX

• Multiclass Learnability and the ERM Principle

  Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz (72):2377−2404, 2015 PDF BibTeX

• Geometry and Expressive Power of Conditional Restricted Boltzmann Machines

  Guido Montúfar, Nihat Ay, Keyan Ghazi-Zahedi (73):2405−2436, 2015 PDF BibTeX

• From Dependency to Causality: A Machine Learning Approach

  Gianluca Bontempi, Maxime Flauder (74):2437−2457, 2015 PDF BibTeX

• The Libra Toolkit for Probabilistic Models

  Daniel Lowd, Amirmohammad Rooshenas (75):2459−2463, 2015 codePDF BibTeX

• Complexity of Equivalence and Learning for Multiplicity Tree Automata

  Ines Marusic, James Worrell (76):2465−2500, 2015 PDF BibTeX

• Bayesian Nonparametric Covariance Regression

  Emily B. Fox, David B. Dunson (77):2501−2542, 2015 PDF BibTeX

• A General Framework for Fast Stagewise Algorithms

  Ryan J. Tibshirani (78):2543−2588, 2015 PDF BibTeX

• Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs

  Yangbo He, Jinzhu Jia, Bin Yu (79):2589−2609, 2015 PDF BibTeX

• pyGPs -- A Python Library for Gaussian Process Regression and Classification

  Marion Neumann, Shan Huang, Daniel E. Marthaler, Kristian Kersting (80):2611−2616, 2015 codePDF BibTeX

• Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression

  WenWu Wang, Lu Lin (81):2617−2641, 2015 PDF BibTeX

• When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity

  Animashree An, kumar, Daniel Hsu, Majid Janzamin, Sham Kakade (82):2643−2694, 2015 PDF BibTeX

• Absent Data Generating Classifier for Imbalanced Class Sizes

  Arash Pourhabib, Bani K. Mallick, Yu Ding (83):2695−2724, 2015 PDF BibTeX

• Decision Boundary for Discrete Bayesian Network Classifiers

  Gherardo Var, o, Concha Bielza, Pedro Larranaga (84):2725−2749, 2015 PDF BibTeX

• A View of Margin Losses as Regularizers of Probability Estimates

  Hamed Masnadi-Shirazi, Nuno Vasconcelos (85):2751−2795, 2015 PDF BibTeX

• Online Tensor Methods for Learning Latent Variable Models

  Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree An, kumar (86):2797−2835, 2015 PDF BibTeX

• Optimal Bayesian Estimation in Random Covariate Design with a Rescaled Gaussian Process Prior

  Debdeep Pati, Anirban Bhattacharya, Guang Cheng (87):2837−2851, 2015 PDF BibTeX

• CEKA: A Tool for Mining the Wisdom of Crowds

  Jing Zhang, Victor S. Sheng, Bryce A. Nicholson, Xindong Wu (88):2853−2858, 2015 codePDF BibTeX

• Linear Dimensionality Reduction: Survey, Insights, and Generalizations

  John P. Cunningham, Zoubin Ghahramani (89):2859−2900, 2015 PDF BibTeX

• The Randomized Causation Coefficient

  David Lopez-Paz, Krikamol Mu, et, Benjamin Recht (90):2901−2907, 2015 PDF BibTeX

• Optimality of Poisson Processes Intensity Learning with Gaussian Processes

  Alisa Kirichenko, Harry van Zanten (91):2909−2919, 2015 PDF BibTeX

• Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013

  Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin (92):2921−2947, 2015 PDF BibTeX

• Comparing Hard and Overlapping Clusterings

  Danilo Horta, Ricardo J.G.B. Campello (93):2949−2997, 2015 PDF BibTeX

• Completing Any Low-rank Matrix, Provably

  Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward (94):2999−3034, 2015 PDF BibTeX

• Eigenwords: Spectral Word Embeddings

  Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar (95):3035−3078, 2015 PDF BibTeX

• Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses

  Palle Jorgensen, Feng Tian (96):3079−3114, 2015 PDF BibTeX

• A Direct Estimation of High Dimensional Stationary Vector Autoregressions

  Fang Han, Huanran Lu, Han Liu (97):3115−3150, 2015 PDF BibTeX

• Global Convergence of Online Limited Memory BFGS

  Aryan Mokhtari, Alej, ro Ribeiro (98):3151−3181, 2015 PDF BibTeX

• On Semi-Supervised Linear Regression in Covariate Shift Problems

  Kenneth Joseph Ryan, Mark Vere Culp (99):3183−3217, 2015 PDF BibTeX

• Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery

  Alexander Statnikov, Sisi Ma, Mikael Henaff, Nikita Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis (100):3219−3267, 2015 PDF BibTeX

• Plug-and-Play Dual-Tree Algorithm Runtime Analysis

  Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram (101):3269−3297, 2015 PDF BibTeX

• Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates

  Yuchen Zhang, John Duchi, Martin Wainwright (102):3299−3340, 2015 PDF BibTeX

• Learning Theory of Randomized Kaczmarz Algorithm

  Junhong Lin, Ding-Xuan Zhou (103):3341−3365, 2015 PDF BibTeX

• Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

  Trevor Hastie, Rahul Mazumder, Jason D. Lee, Reza Zadeh (104):3367−3402, 2015 PDF BibTeX

• On the Inductive Bias of Dropout

  David P. Helmbold, Philip M. Long (105):3403−3454, 2015 PDF BibTeX

• Agnostic Learning of Disjunctions on Symmetric Distributions

  Vitaly Feldman, Pravesh Kothari (106):3455−3467, 2015 PDF BibTeX

• SnFFT: A Julia Toolkit for Fourier Analysis of Functions over Permutations

  Gregory Plumb, Deepti Pachauri, Risi Kondor, Vikas Singh (107):3469−3473, 2015 PDF BibTeX

• The Sample Complexity of Learning Linear Predictors with the Squared Loss

  Ohad Shamir (108):3475−3486, 2015 PDF BibTeX

• Minimax Analysis of Active Learning

  Steve Hanneke, Liu Yang (109):3487−3602, 2015 PDF BibTeX

• Convergence Rates for Persistence Diagram Estimation in Topological Data Analysis

  Frédéric Chazal, Marc Glisse, Catherine Labruère, Bertrand Michel (110):3603−3635, 2015 PDF BibTeX

• Supervised Learning via Euler's Elastica Models

  Tong Lin, Hanlin Xue, Ling Wang, Bo Huang, Hongbin Zha (111):3637−3686, 2015 PDF BibTeX

• Learning to Identify Concise Regular Expressions that Describe Email Campaigns

  Paul Prasse, Christoph Sawade, Niels L, wehr, Tobias Scheffer (112):3687−3720, 2015 PDF BibTeX

• Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards

  Junya Honda, Akimichi Takemura (113):3721−3756, 2015 PDF BibTeX

• Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA

  Shinichi Nakajima, Ryota Tomioka, Masashi Sugiyama, S. Derin Babacan (114):3757−3811, 2015 PDF BibTeX

• Graphical Models via Univariate Exponential Family Distributions

  Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu (115):3813−3847, 2015 PDF BibTeX

• Marginalizing Stacked Linear Denoising Autoencoders

  Minmin Chen, Kilian Q. Weinberger, Zhixiang (Eddie) Xu, Fei Sha (116):3849−3875, 2015 PDF BibTeX

• PAC Optimal MDP Planning with Application to Invasive Species Management

  Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley, Kim Hall, H. Jo Albers (117):3877−3903, 2015 PDF BibTeX

• partykit: A Modular Toolkit for Recursive Partytioning in R

  Torsten Hothorn, Achim Zeileis (118):3905−3909, 2015 codePDF BibTeX