JMLR Volume 13

• Distance Metric Learning with Eigenvalue Optimization

  Yiming Ying, Peng Li (1):1−26, 2012 PDF BibTeX

• Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection

  Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luján (2):27−66, 2012 PDF BibTeX

• Plug-in Approach to Active Learning

  Stanislav Minsker (3):67−90, 2012 PDF BibTeX

• Refinement of Operator-valued Reproducing Kernels

  Haizhang Zhang, Yuesheng Xu, Qinghui Zhang (4):91−136, 2012 PDF BibTeX

• An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity

  Nir Ailon (5):137−164, 2012 PDF BibTeX

• Optimal Distributed Online Prediction Using Mini-Batches

  Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao (6):165−202, 2012 PDF BibTeX

• Active Clustering of Biological Sequences

  Konstantin Voevodski, Maria-Florina Balcan, Heiko Röglin, Shang-Hua Teng, Yu Xia (7):203−225, 2012 PDF BibTeX

• Multi Kernel Learning with Online-Batch Optimization

  Francesco Orabona, Luo Jie, Barbara Caputo (8):227−253, 2012 PDF BibTeX

• Active Learning via Perfect Selective Classification

  Ran El-Yaniv, Yair Wiener (9):255−279, 2012 PDF BibTeX

• Random Search for Hyper-Parameter Optimization

  James Bergstra, Yoshua Bengio (10):281−305, 2012 PDF BibTeX

• Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics

  Michael U. Gutmann, Aapo Hyvärinen (11):307−361, 2012 PDF BibTeX

• Bounding the Probability of Error for High Precision Optical Character Recognition

  Gary B. Huang, Andrew Kae, Carl Doersch, Erik Learned-Miller (12):363−387, 2012 PDF BibTeX

• Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming

  Garvesh Raskutti, Martin J. Wainwright, Bin Yu (13):389−427, 2012 PDF BibTeX

• Online Learning in the Embedded Manifold of Low-rank Matrices

  Uri Shalit, Daphna Weinshall, Gal Chechik (14):429−458, 2012 PDF BibTeX

• Multi-Assignment Clustering for Boolean Data

  Mario Frank, Andreas P. Streich, David Basin, Joachim M. Buhmann (15):459−489, 2012 PDF BibTeX

• Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks

  Vikas C. Raykar, Shipeng Yu (16):491−518, 2012 PDF BibTeX

• Metric and Kernel Learning Using a Linear Transformation

  Prateek Jain, Brian Kulis, Jason V. Davis, Inderjit S. Dhillon (17):519−547, 2012 PDF BibTeX

• MULTIBOOST: A Multi-purpose Boosting Package

  Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl (18):549−553, 2012 codePDF BibTeX

• ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel

  Stephen R. Piccolo, Lewis J. Frey (19):555−559, 2012 PDF BibTeX

• A Primal-Dual Convergence Analysis of Boosting

  Matus Telgarsky (20):561−606, 2012 PDF BibTeX

• Non-Sparse Multiple Kernel Fisher Discriminant Analysis

  Fei Yan, Josef Kittler, Krystian Mikolajczyk, Atif Tahir (21):607−642, 2012 PDF BibTeX

• Learning Algorithms for the Classification Restricted Boltzmann Machine

  Hugo Larochelle, Michael Mandel, Razvan Pascanu, Yoshua Bengio (22):643−669, 2012 PDF BibTeX

• Structured Sparsity and Generalization

  Andreas Maurer, Massimiliano Pontil (23):671−690, 2012 PDF BibTeX

• A Case Study on Meta-Generalising: A Gaussian Processes Approach

  Grigorios Skolidis, Guido Sanguinetti (24):691−721, 2012 PDF BibTeX

• A Kernel Two-Sample Test

  Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander Smola (25):723−773, 2012 PDF BibTeX

• GPLP: A Local and Parallel Computation Toolbox for Gaussian Process Regression

  Chiwoo Park, Jianhua Z. Huang, Yu Ding (26):775−779, 2012 PDF BibTeX

• Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso

  Rahul Mazumder, Trevor Hastie (27):781−794, 2012 PDF BibTeX

• Algorithms for Learning Kernels Based on Centered Alignment

  Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh (28):795−828, 2012 PDF BibTeX

• Causal Bounds and Observable Constraints for Non-deterministic Models

  Roland R. Ramsahai (29):829−848, 2012 PDF BibTeX

• NIMFA : A Python Library for Nonnegative Matrix Factorization

  Marinka Žitnik, Blaž Zupan (30):849−853, 2012 PDF BibTeX

• Algebraic Geometric Comparison of Probability Distributions

  Franz J. Király, Paul von Bünau, Frank C. Meinecke, Duncan A.J. Blythe, Klaus-Robert Müller (31):855−903, 2012 PDF BibTeX

• Stability of Density-Based Clustering

  Alessandro Rinaldo, Aarti Singh, Rebecca Nugent, Larry Wasserman (32):905−948, 2012 PDF BibTeX

• Mal-ID: Automatic Malware Detection Using Common Segment Analysis and Meta-Features

  Gil Tahan, Lior Rokach, Yuval Shahar (33):949−979, 2012 PDF BibTeX

• Sampling Methods for the Nyström Method

  Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar (34):981−1006, 2012 PDF BibTeX

• Positive Semidefinite Metric Learning Using Boosting-like Algorithms

  Chunhua Shen, Junae Kim, Lei Wang, Anton van den Hengel (35):1007−1036, 2012 PDF BibTeX

• Consistent Model Selection Criteria on High Dimensions

  Yongdai Kim, Sunghoon Kwon, Hosik Choi (36):1037−1057, 2012 PDF BibTeX

• The huge Package for High-dimensional Undirected Graph Estimation in R

  Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman (37):1059−1062, 2012 PDF BibTeX

• Analysis of a Random Forests Model

  Gérard Biau (38):1063−1095, 2012 PDF BibTeX

• Towards Integrative Causal Analysis of Heterogeneous Data Sets and Studies

  Ioannis Tsamardinos, Sofia Triantafillou, Vincenzo Lagani (39):1097−1157, 2012 PDF BibTeX

• Hope and Fear for Discriminative Training of Statistical Translation Models

  David Chiang (40):1159−1187, 2012 PDF BibTeX

• A Multi-Stage Framework for Dantzig Selector and LASSO

  Ji Liu, Peter Wonka, Jieping Ye (41):1189−1219, 2012 PDF BibTeX

• A Geometric Approach to Sample Compression

  Benjamin I.P. Rubinstein, J. Hyam Rubinstein (42):1221−1261, 2012 PDF BibTeX

• Minimax Manifold Estimation

  Christopher Genovese, Marco Perone-Pacifico, Isabella Verdinelli, Larry Wasserman (43):1263−1291, 2012 PDF BibTeX

• Query Strategies for Evading Convex-Inducing Classifiers

  Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang, Anthony D. Joseph, Steven J. Lee, Satish Rao, J. D. Tygar (44):1293−1332, 2012 PDF BibTeX

• Transfer in Reinforcement Learning via Shared Features

  George Konidaris, Ilya Scheidwasser, Andrew Barto (45):1333−1371, 2012 PDF BibTeX

• On Ranking and Generalization Bounds

  Wojciech Rejchel (46):1373−1392, 2012 PDF BibTeX

• Feature Selection via Dependence Maximization

  Le Song, Alex Smola, Arthur Gretton, Justin Bedo, Karsten Borgwardt (47):1393−1434, 2012 PDF BibTeX

• Structured Sparsity via Alternating Direction Methods

  Zhiwei Qin, Donald Goldfarb (48):1435−1468, 2012 PDF BibTeX

• Activized Learning: Transforming Passive to Active with Improved Label Complexity

  Steve Hanneke (49):1469−1587, 2012 PDF BibTeX

• A Model of the Perception of Facial Expressions of Emotion by Humans: Research Overview and Perspectives

  Aleix Martinez, Shichuan Du (50):1589−1608, 2012 PDF BibTeX

• A Unifying Probabilistic Perspective for Spectral Dimensionality Reduction: Insights and New Models

  Neil D. Lawrence (51):1609−1638, 2012 PDF BibTeX

• Mixability is Bayes Risk Curvature Relative to Log Loss

  Tim van Erven, Mark D. Reid, Robert C. Williamson (52):1639−1663, 2012 PDF BibTeX

• Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise

  Sahand Negahban, Martin J. Wainwright (53):1665−1697, 2012 PDF BibTeX

• glm-ie: Generalised Linear Models Inference & Estimation Toolbox

  Hannes Nickisch (54):1699−1703, 2012 PDF BibTeX

• Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning

  Sangkyun Lee, Stephen J. Wright (55):1705−1744, 2012 PDF BibTeX

• Variational Multinomial Logit Gaussian Process

  Kian Ming A. Chai (56):1745−1808, 2012 PDF BibTeX

• Entropy Search for Information-Efficient Global Optimization

  Philipp Hennig, Christian J. Schuler (57):1809−1837, 2012 PDF BibTeX

• Estimation and Selection via Absolute Penalized Convex Minimization And Its Multistage Adaptive Applications

  Jian Huang, Cun-Hui Zhang (58):1839−1864, 2012 PDF BibTeX

• Regularization Techniques for Learning with Matrices

  Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari (59):1865−1890, 2012 PDF BibTeX

• Confidence-Weighted Linear Classification for Text Categorization

  Koby Crammer, Mark Dredze, Fernando Pereira (60):1891−1926, 2012 PDF BibTeX

• Integrating a Partial Model into Model Free Reinforcement Learning

  Aviv Tamar, Dotan Di Castro, Ron Meir (61):1927−1966, 2012 PDF BibTeX

• Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences

  Jan Grau, Jens Keilwagen, André Gohr, Berit Haldemann, Stefan Posch, Ivo Grosse (62):1967−1971, 2012 PDF BibTeX

• Variable Selection in High-dimensional Varying-coefficient Models with Global Optimality

  Lan Xue, Annie Qu (63):1973−1998, 2012 PDF BibTeX

• An Improved GLMNET for L1-regularized Logistic Regression

  Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin (64):1999−2030, 2012 PDF BibTeX

• EP-GIG Priors and Applications in Bayesian Sparse Learning

  Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan (65):2031−2061, 2012 PDF BibTeX

• Pattern for Python

  Tom De Smedt, Walter Daelemans (66):2063−2067, 2012 PDF BibTeX

• Optimistic Bayesian Sampling in Contextual-Bandit Problems

  Benedict C. May, Nathan Korda, Anthony Lee, David S. Leslie (67):2069−2106, 2012 PDF BibTeX

• A Comparison of the Lasso and Marginal Regression

  Christopher R. Genovese, Jiashun Jin, Larry Wasserman, Zhigang Yao (68):2107−2143, 2012 PDF BibTeX

• On the Necessity of Irrelevant Variables

  David P. Helmbold, Philip M. Long (69):2145−2170, 2012 PDF BibTeX

• DEAP: Evolutionary Algorithms Made Easy

  Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner, Marc Parizeau, Christian Gagné (70):2171−2175, 2012 PDF BibTeX

• An Introduction to Artificial Prediction Markets for Classification

  Adrian Barbu, Nathan Lay (71):2177−2204, 2012 PDF BibTeX

• Sign Language Recognition using Sub-Units

  Helen Cooper, Eng-Jon Ong, Nicolas Pugeault, Richard Bowden (72):2205−2231, 2012 PDF BibTeX

• A Topic Modeling Toolbox Using Belief Propagation

  Jia Zeng (73):2233−2236, 2012 PDF BibTeX

• MedLDA: Maximum Margin Supervised Topic Models

  Jun Zhu, Amr Ahmed, Eric P. Xing (74):2237−2278, 2012 PDF BibTeX

• Pairwise Support Vector Machines and their Application to Large Scale Problems

  Carl Brunner, Andreas Fischer, Klaus Luig, Thorsten Thies (75):2279−2292, 2012 PDF BibTeX

• High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion

  Animashree Anandkumar, Vincent Y.F. Tan, Furong Huang, Alan S. Willsky (76):2293−2337, 2012 PDF BibTeX

• A Local Spectral Method for Graphs: With Applications to Improving Graph Partitions and Exploring Data Graphs Locally

  Michael W. Mahoney, Lorenzo Orecchia, Nisheeth K. Vishnoi (77):2339−2365, 2012 PDF BibTeX

• Multi-Target Regression with Rule Ensembles

  Timo Aho, Bernard Ženko, Sašo Džeroski, Tapio Elomaa (78):2367−2407, 2012 PDF BibTeX

• Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs

  Alain Hauser, Peter Bühlmann (79):2409−2464, 2012 PDF BibTeX

• On the Convergence Rate of l_p-Norm Multiple Kernel Learning

  Marius Kloft, Gilles Blanchard (80):2465−2502, 2012 PDF BibTeX

• Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

  Mehrdad Mahdavi, Rong Jin, Tianbao Yang (81):2503−2528, 2012 PDF BibTeX

• Robust Kernel Density Estimation

  JooSeuk Kim, Clayton D. Scott (82):2529−2565, 2012 PDF BibTeX

• Nonparametric Guidance of Autoencoder Representations using Label Information

  Jasper Snoek, Ryan P. Adams, Hugo Larochelle (83):2567−2588, 2012 PDF BibTeX

• Finding Recurrent Patterns from Continuous Sign Language Sentences for Automated Extraction of Signs

  Sunita Nayak, Kester Duncan, Sudeep Sarkar, Barbara Loeding (84):2589−2615, 2012 PDF BibTeX

• Static Prediction Games for Adversarial Learning Problems

  Michael Brückner, Christian Kanzow, Tobias Scheffer (85):2617−2654, 2012 PDF BibTeX

• Selective Sampling and Active Learning from Single and Multiple Teachers

  Ofer Dekel, Claudio Gentile, Karthik Sridharan (86):2655−2697, 2012 PDF BibTeX

• PREA: Personalized Recommendation Algorithms Toolkit

  Joonseok Lee, Mingxuan Sun, Guy Lebanon (87):2699−2703, 2012 PDF BibTeX

• Coherence Functions with Applications in Large-Margin Classification Methods

  Zhihua Zhang, Dehua Liu, Guang Dai, Michael I. Jordan (88):2705−2734, 2012 PDF BibTeX

• Linear Regression With Random Projections

  Odalric-Ambrym Maillard, Rémi Munos (89):2735−2772, 2012 PDF BibTeX

• Multi-task Regression using Minimal Penalties

  Matthieu Solnon, Sylvain Arlot, Francis Bach (90):2773−2812, 2012 PDF BibTeX

• A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss

  José Hernández-Orallo, Peter Flach, Cèsar Ferri (91):2813−2869, 2012 PDF BibTeX

• Local and Global Scaling Reduce Hubs in Space

  Dominik Schnitzer, Arthur Flexer, Markus Schedl, Gerhard Widmer (92):2871−2902, 2012 PDF BibTeX

• Online Submodular Minimization

  Elad Hazan, Satyen Kale (93):2903−2922, 2012 PDF BibTeX

• Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices

  Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya, Arkadi Nemirovski (94):2923−2954, 2012 PDF BibTeX

• Facilitating Score and Causal Inference Trees for Large Observational Studies

  Xiaogang Su, Joseph Kang, Juanjuan Fan, Richard A. Levine, Xin Yan (95):2955−2994, 2012 PDF BibTeX

• Oger: Modular Learning Architectures For Large-Scale Sequential Processing

  David Verstraeten, Benjamin Schrauwen, Sander Dieleman, Philemon Brakel, Pieter Buteneers, Dejan Pecevski (96):2995−2998, 2012 PDF BibTeX

• Multi-Instance Learning with Any Hypothesis Class

  Sivan Sabato, Naftali Tishby (97):2999−3039, 2012 PDF BibTeX

• Finite-Sample Analysis of Least-Squares Policy Iteration

  Alessandro Lazaric, Mohammad Ghavamzadeh, Rémi Munos (98):3041−3074, 2012 PDF BibTeX

• Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition

  Yang Wang, Duan Tran, Zicheng Liao, David Forsyth (99):3075−3102, 2012 PDF BibTeX

• Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training

  Zhuang Wang, Koby Crammer, Slobodan Vucetic (100):3103−3131, 2012 PDF BibTeX

• Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets

  Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan (101):3133−3176, 2012 PDF BibTeX

• Quantum Set Intersection and its Application to Associative Memory

  Tamer Salman, Yoram Baram (102):3177−3206, 2012 PDF BibTeX

• Dynamic Policy Programming

  Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen (103):3207−3245, 2012 PDF BibTeX

• Sally: A Tool for Embedding Strings in Vector Spaces

  Konrad Rieck, Christian Wressnegger, Alexander Bikadorov (104):3247−3251, 2012 PDF BibTeX

• Linear Fitted-Q Iteration with Multiple Reward Functions

  Daniel J. Lizotte, Michael Bowling, Susan A. Murphy (105):3253−3295, 2012 PDF BibTeX

• Human Gesture Recognition on Product Manifolds

  Yui Man Lui (106):3297−3321, 2012 PDF BibTeX

• Large-scale Linear Support Vector Regression

  Chia-Hua Ho, Chih-Jen Lin (107):3323−3348, 2012 PDF BibTeX

• Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing

  Nicolas Gillis (108):3349−3386, 2012 PDF BibTeX

• Learning Linear Cyclic Causal Models with Latent Variables

  Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer (109):3387−3439, 2012 PDF BibTeX

• Iterative Reweighted Algorithms for Matrix Rank Minimization

  Karthik Mohan, Maryam Fazel (110):3441−3473, 2012 PDF BibTeX

• Fast Approximation of Matrix Coherence and Statistical Leverage

  Petros Drineas, Malik Magdon-Ismail, Michael W. Mahoney, David P. Woodruff (111):3475−3506, 2012 PDF BibTeX

• PAC-Bayes Bounds with Data Dependent Priors

  Emilio Parrado-Hernández, Amiran Ambroladze, John Shawe-Taylor, Shiliang Sun (112):3507−3531, 2012 PDF BibTeX

• DARWIN: A Framework for Machine Learning and Computer Vision Research and Development

  Stephen Gould (113):3533−3537, 2012 PDF BibTeX

• Regularized Bundle Methods for Convex and Non-Convex Risks

  Trinh Minh Tri Do, Thierry Artières (114):3539−3583, 2012 PDF BibTeX

• Learning Symbolic Representations of Hybrid Dynamical Systems

  Daniel L. Ly, Hod Lipson (115):3585−3618, 2012 PDF BibTeX

• SVDFeature: A Toolkit for Feature-based Collaborative Filtering

  Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu (116):3619−3622, 2012 PDF BibTeX

• Smoothing Multivariate Performance Measures

  Xinhua Zhang, Ankan Saha, S.V.N. Vishwanathan (117):3623−3680, 2012 PDF BibTeX

• Security Analysis of Online Centroid Anomaly Detection

  Marius Kloft, Pavel Laskov (118):3681−3724, 2012 PDF BibTeX

• Exploration in Relational Domains for Model-based Reinforcement Learning

  Tobias Lang, Marc Toussaint, Kristian Kersting (119):3725−3768, 2012 PDF BibTeX