Home Page

Papers

Submissions

News

Scope

Editorial Board

Announcements

Proceedings

Open Source Software

Search

Login



RSS Feed

JMLR Workshop and Conference Proceedings
Volume 22: AISTATS 2012

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics
April 21-23, 2012 La Palma, Canary Islands

Editors: Neil Lawrence and Mark Girolami
Preface
Neil Lawrence and Mark Girolami
[pdf]

Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari JMLR W&CP 22: 1-9, 2012
[abs][pdf][supplementary]

Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix Agakov, Peter Orchard, Amos Storkey JMLR W&CP 22: 10-18, 2012
[abs][pdf]

Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudik, Satyen Kale, John Langford, Robert Schapire JMLR W&CP 22: 19-26, 2012
[abs][pdf]

Sparse Higher-Order Principal Components Analysis
Genevera Allen JMLR W&CP 22: 27-36, 2012
[abs][pdf]

Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht JMLR W&CP 22: 37-46, 2012
[abs][pdf][supplementary]

Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew, Jeff Bilmes JMLR W&CP 22: 47-53, 2012
[abs][pdf]

Graphlet decomposition of a weighted network
Hossein Azari Soufiani, Edo Airoldi JMLR W&CP 22: 54-63, 2012
[abs][pdf]

Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy, Aarti Singh, Larry Wasserman JMLR W&CP 22: 64-72, 2012
[abs][pdf][supplementary]

Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection
Guha Balakrishnan, Zeeshan Syed JMLR W&CP 22: 73-81, 2012
[abs][pdf]

A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil JMLR W&CP 22: 82-90, 2012
[abs][pdf]

Adaptive Metropolis with Online Relabeling
Remi Bardenet, Olivier Cappe, Gersende Fort, Balazs Kegl JMLR W&CP 22: 91-99, 2012
[abs][pdf][supplementary]

Controlling Selection Bias in Causal Inference
Elias Bareinboim, Judea Pearl JMLR W&CP 22: 100-108, 2012
[abs][pdf][supplementary]

CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie, Dacheng Tao JMLR W&CP 22: 109-117, 2012
[abs][pdf]

History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stockel, Maurizio Zazzi, Rolf Kaiser, Francesca Incardona, Michal Rosen-Zvi, Thomas Lengauer JMLR W&CP 22: 118-126, 2012
[abs][pdf][supplementary]

Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio JMLR W&CP 22: 127-135, 2012
[abs][pdf]

Sample Complexity of Composite Likelihood
Joseph Bradley, Carlos Guestrin JMLR W&CP 22: 136-160, 2012
[abs][pdf]

A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun JMLR W&CP 22: 161-172, 2012
[abs][pdf]

On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark Schmidt, Shakir Mohamed, David Poole, Nando De Freitas JMLR W&CP 22: 173-181, 2012
[abs][pdf]

Optimistic planning for Markov decision processes
Lucian Busoniu, Remi Munos JMLR W&CP 22: 182-189, 2012
[abs][pdf][supplementary]

Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos JMLR W&CP 22: 190-198, 2012
[abs][pdf]

Structured Sparse Canonical Correlation Analysis
Xi Chen, Liu Han, Jaime Carbonell JMLR W&CP 22: 199-207, 2012
[abs][pdf]

A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu JMLR W&CP 22: 208-217, 2012
[abs][pdf]

Classifier Cascade for Minimizing Feature Evaluation Cost
Minmin Chen, Zhixiang Xu, Kilian Weinberger, Olivier Chapelle, Dor Kedem JMLR W&CP 22: 218-226, 2012
[abs][pdf]

Online Clustering with Experts
Anna Choromanska, Claire Monteleoni JMLR W&CP 22: 227-235, 2012
[abs][pdf][supplementary]

Minimax hypothesis testing for curve registration
Olivier Collier JMLR W&CP 22: 236-245, 2012
[abs][pdf][supplementary]

Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression
Bryan Conroy, Paul Sajda JMLR W&CP 22: 246-254, 2012
[abs][pdf][supplementary]

Gaussian Processes for time-marked time-series data
John Cunningham, Zoubin Ghahramani, Carl Rasmussen JMLR W&CP 22: 255-263, 2012
[abs][pdf]

Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration
Arnak Dalalyan, Olivier Collier JMLR W&CP 22: 264-272, 2012
[abs][pdf]

Hierarchical Relative Entropy Policy Search
Christian Daniel, Gerhard Neumann, Jan Peters JMLR W&CP 22: 273-281, 2012
[abs][pdf]

Protocols for Learning Classifiers on Distributed Data
Hal Daume III, Jeff Phillips, Avishek Saha, Suresh Venkatasubramanian JMLR W&CP 22: 282-290, 2012
[abs][pdf]

There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems
Ofer Dekel, Ohad Shamir JMLR W&CP 22: 291-298, 2012
[abs][pdf][supplementary]

Deterministic Annealing for Semi-Supervised Structured Output Learning
Paramveer Dhillon, Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, Sundararajan Sellamanickam JMLR W&CP 22: 299-307, 2012
[abs][pdf]

A metric learning perspective of SVM: on the relation of LMNN and SVM
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica JMLR W&CP 22: 308-317, 2012
[abs][pdf]

Generic Methods for Optimization-Based Modeling
Justin Domke JMLR W&CP 22: 318-326, 2012
[abs][pdf]

Lifted coordinate descent for learning with trace-norm regularization
Miroslav Dudik, Zaid Harchaoui, Jerome Malick JMLR W&CP 22: 327-336, 2012
[abs][pdf][supplementary]

Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space
Robert Durrant, Ata Kaban JMLR W&CP 22: 337-345, 2012
[abs][pdf]

Copula Network Classifiers (CNCs)
Gal Elidan JMLR W&CP 22: 346-354, 2012
[abs][pdf]

Lightning-speed Structure Learning of Nonlinear Continuous Networks
Gal Elidan JMLR W&CP 22: 355-363, 2012
[abs][pdf]

Statistical test for consistent estimation of causal effects in linear non-Gaussian models
Doris Entner, Patrik Hoyer, Peter Spirtes JMLR W&CP 22: 364-372, 2012
[abs][pdf][supplementary]

High-Rank Matrix Completion
Brian Eriksson, Laura Balzano, Robert Nowak JMLR W&CP 22: 373-381, 2012
[abs][pdf]

No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin JMLR W&CP 22: 382-390, 2012
[abs][pdf][supplementary]

Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields
Antonino Freno JMLR W&CP 22: 391-399, 2012
[abs][pdf]

Factorized Asymptotic Bayesian Inference for Mixture Modeling
Ryohei Fujimaki, Satoshi Morinaga JMLR W&CP 22: 400-408, 2012
[abs][pdf]

Hierarchical Latent Dictionaries for Models of Brain Activation
Alona Fyshe, Emily Fox, David Dunson, Tom Mitchell JMLR W&CP 22: 409-421, 2012
[abs][pdf][supplementary]

UPAL: Unbiased Pool Based Active Learning
Ravi Ganti, Alexander Gray JMLR W&CP 22: 422-431, 2012
[abs][pdf]

Regularization Paths with Guarantees for Convex Semidefinite Optimization
Joachim Giesen, Martin Jaggi, Soeren Laue JMLR W&CP 22: 432-439, 2012
[abs][pdf]

Scalable Inference on Kingman's Coalescent using Pair Similarity
Dilan Gorur, Levi Boyles, Max Welling JMLR W&CP 22: 440-448, 2012
[abs][pdf][supplementary]

On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems
Yuri Grinberg, Doina Precup JMLR W&CP 22: 449-457, 2012
[abs][pdf]

SpeedBoost: Anytime Prediction with Uniform Near-Optimality
Alex Grubb, Drew Bagnell JMLR W&CP 22: 458-466, 2012
[abs][pdf]

Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
Marco Grzegorzyk, Dirk Husmeier JMLR W&CP 22: 467-476, 2012
[abs][pdf][supplementary]

Locality Preserving Feature Learning
Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han JMLR W&CP 22: 477-485, 2012
[abs][pdf][supplementary]

Evaluation of marginal likelihoods via the density of states
Michael Habeck JMLR W&CP 22: 486-494, 2012
[abs][pdf]

Information Theoretic Model Validation for Spectral Clustering
Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann JMLR W&CP 22: 495-503, 2012
[abs][pdf]

Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior
Fares Hedayati, Peter Bartlett JMLR W&CP 22: 504-510, 2012
[abs][pdf]

Kernel Topic Models
Philipp Hennig, David Stern, Ralf Herbrich, Thore Graepel JMLR W&CP 22: 511-519, 2012
[abs][pdf]

Maximum Margin Temporal Clustering
Minh Hoai, Fernando De La Torre JMLR W&CP 22: 520-528, 2012
[abs][pdf]

Stochastic Bandit Based on Empirical Moments
Junya Honda, Akimichi Takemura JMLR W&CP 22: 529-537, 2012
[abs][pdf][supplementary]

Variable Selection for Gaussian Graphical Models
Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo Cecchi JMLR W&CP 22: 538-546, 2012
[abs][pdf][supplementary]

Subset Infinite Relational Models
Katsuhiko Ishiguro, Naonori Ueda, Hiroshi Sawada JMLR W&CP 22: 547-555, 2012
[abs][pdf][supplementary]

A Variance Minimization Criterion to Active Learning on Graphs
Ming Ji, Jiawei Han JMLR W&CP 22: 556-564, 2012
[abs][pdf]

Detecting Network Cliques with Radon Basis Pursuit
Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas Guibas JMLR W&CP 22: 565-573, 2012
[abs][pdf]

High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher Johnson, Ali Jalali, Pradeep Ravikumar JMLR W&CP 22: 574-582, 2012
[abs][pdf]

Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick JMLR W&CP 22: 583-591, 2012
[abs][pdf][supplementary]

On Bayesian Upper Confidence Bounds for Bandit Problems
Emilie Kaufmann, Olivier Cappe, Aurelien Garivier JMLR W&CP 22: 592-600, 2012
[abs][pdf]

Online Clustering of Processes
Azadeh Khaleghi, Daniil Ryabko, Jeremie Mary, Philippe Preux JMLR W&CP 22: 601-609, 2012
[abs][pdf]

A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad Khan, Shakir Mohamed, Benjamin Marlin, Kevin Murphy JMLR W&CP 22: 610-618, 2012
[abs][pdf]

Bayesian Classifier Combination
Hyun-Chul Kim, Zoubin Ghahramani JMLR W&CP 22: 619-627, 2012
[abs][pdf]

Regression for sets of polynomial equations
Franz Kiraly, Paul Von Buenau, Jan Muller, Duncan Blythe, Frank Meinecke, Klaus-Robert Muller JMLR W&CP 22: 628-637, 2012
[abs][pdf][supplementary]

Multiple Texture Boltzmann Machines
Jyri Kivinen, Christopher Williams JMLR W&CP 22: 638-646, 2012
[abs][pdf][supplementary]

Marginal Regression For Multitask Learning
Mladen Kolar, Han Liu JMLR W&CP 22: 647-655, 2012
[abs][pdf][supplementary]

Message-Passing Algorithms for MAP Estimation Using DC Programming
Akshat Kumar, Shlomo Zilberstein, Marc Toussaint JMLR W&CP 22: 656-664, 2012
[abs][pdf][supplementary]

Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
Alexandre Lacoste, Francois Laviolette, Mario Marchand JMLR W&CP 22: 665-675, 2012
[abs][pdf]

Efficient Hypergraph Clustering
Marius Leordeanu, Cristian Sminchisescu JMLR W&CP 22: 676-684, 2012
[abs][pdf]

Data dependent kernels in nearly-linear time
Guy Lever, Tom Diethe, John Shawe-Taylor JMLR W&CP 22: 685-693, 2012
[abs][pdf][supplementary]

Efficient Sampling from Combinatorial Space via Bridging
Dahua Lin, John Fisher JMLR W&CP 22: 694-702, 2012
[abs][pdf][supplementary]

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation
Guangcan Liu, Huan Xu, Shuicheng Yan JMLR W&CP 22: 703-711, 2012
[abs][pdf][supplementary]

High-Dimensional Structured Feature Screening Using Binary Markov Random Fields
Jie Liu, Chunming Zhang, Catherine Mccarty, Peggy Peissig, Elizabeth Burnside, David Page JMLR W&CP 22: 712-721, 2012
[abs][pdf][supplementary]

A Simple Geometric Interpretation of SVM using Stochastic Adversaries
Roi Livni, Koby Crammer, Amir Globerson JMLR W&CP 22: 722-730, 2012
[abs][pdf][supplementary]

Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models
Jorg Lucke, Marc Henniges JMLR W&CP 22: 731-740, 2012
[abs][pdf]

Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling
Jaakko Luttinen, Alexander Ilin JMLR W&CP 22: 741-750, 2012
[abs][pdf]

Adaptive MCMC with Bayesian Optimization
Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando De Freitas JMLR W&CP 22: 751-760, 2012
[abs][pdf]

Movement Segmentation and Recognition for Imitation Learning
Franziska Meier, Evangelos Theodorou, Stefan Schaal JMLR W&CP 22: 761-769, 2012
[abs][pdf]

Globally Optimizing Graph Partitioning Problems Using Message Passing
Elad Mezuman, Yair Weiss JMLR W&CP 22: 770-778, 2012
[abs][pdf]

Max-Margin Min-Entropy Models
Kevin Miller, M. Pawan Kumar, Ben Packer, Danny Goodman, Daphne Koller JMLR W&CP 22: 779-787, 2012
[abs][pdf]

Lifted Linear Programming
Martin Mladenov, Babak Ahmadi, Kristian Kersting JMLR W&CP 22: 788-797, 2012
[abs][pdf]

Deep Boltzmann Machines as Feed-Forward Hierarchies
Gregoire Montavon, Mikio Braun, Klaus-Robert Muller JMLR W&CP 22: 798-804, 2012
[abs][pdf]

The adversarial stochastic shortest path problem with unknown transition probabilities
Gergely Neu, Andras Gyorgy, Csaba Szepesvari JMLR W&CP 22: 805-813, 2012
[abs][pdf][supplementary]

A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views
Donglin Niu, Jennifer Dy, Zoubin Ghahramani JMLR W&CP 22: 814-822, 2012
[abs][pdf]

Beyond Logarithmic Bounds in Online Learning
Francesco Orabona, Nicolo Cesa-Bianchi, Claudio Gentile JMLR W&CP 22: 823-831, 2012
[abs][pdf]

Bayesian Quadrature for Ratios
Michael Osborne, Roman Garnett, Stephen Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson JMLR W&CP 22: 832-840, 2012
[abs][pdf]

Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis
Zhijian Ou, Yang Zhang JMLR W&CP 22: 841-849, 2012
[abs][pdf][supplementary]

Stick-Breaking Beta Processes and the Poisson Process
John Paisley, David Blei, Michael Jordan JMLR W&CP 22: 850-858, 2012
[abs][pdf]

On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap
Alexander Paprotny, Jochen Garcke JMLR W&CP 22: 859-867, 2012
[abs][pdf][supplementary]

Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu JMLR W&CP 22: 868-876, 2012
[abs][pdf]

Part & Clamp: Efficient Structured Output Learning
Patrick Pletscher, Cheng Soon Ong JMLR W&CP 22: 877-885, 2012
[abs][pdf]

Learning Low-order Models for Enforcing High-order Statistics
Patrick Pletscher, Pushmeet Kohli JMLR W&CP 22: 886-894, 2012
[abs][pdf]

Fast interior-point inference in high-dimensional sparse, penalized state-space models
Eftychios Pnevmatikakis, Liam Paninski JMLR W&CP 22: 895-904, 2012
[abs][pdf][supplementary]

Informative Priors for Markov Blanket Discovery
Adam Pocock, Mikel Lujan, Gavin Brown JMLR W&CP 22: 905-913, 2012
[abs][pdf][supplementary]

Nonparametric Estimation of Conditional Information and Divergences
Barnabas Poczos, Jeff Schneider JMLR W&CP 22: 914-923, 2012
[abs][pdf][supplementary]

Deep Learning Made Easier by Linear Transformations in Perceptrons
Tapani Raiko, Harri Valpola, Yann Lecun JMLR W&CP 22: 924-932, 2012
[abs][pdf]

A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification
Arun Rajkumar, Shivani Agarwal JMLR W&CP 22: 933-941, 2012
[abs][pdf][supplementary]

Universal Measurement Bounds for Structured Sparse Signal Recovery
Nikhil Rao, Ben Recht, Robert Nowak JMLR W&CP 22: 942-950, 2012
[abs][pdf]

Exploiting Unrelated Tasks in Multi-Task Learning
Bernardino Romera Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil JMLR W&CP 22: 951-959, 2012
[abs][pdf]

Domain Adaptation: A Small Sample Statistical Approach
Ruslan Salakhutdinov, Sham Kakade, Dean Foster JMLR W&CP 22: 960-968, 2012
[abs][pdf]

Local Anomaly Detection
Venkatesh Saligrama, Manqi Zhao JMLR W&CP 22: 969-983, 2012
[abs][pdf]

Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
Avneesh Saluja, Priya Krishnan Sundararajan, Ole J Mengshoel JMLR W&CP 22: 984-992, 2012
[abs][pdf]

Infinite-Dimensional Kalman Filtering Approach to Spatio-Temporal Gaussian Process Regression
Simo Sarkka, Jouni Hartikainen JMLR W&CP 22: 993-1001, 2012
[abs][pdf][supplementary]

Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
Martin Schiegg, Marion Neumann, Kristian Kersting JMLR W&CP 22: 1002-1011, 2012
[abs][pdf]

Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
Matthias Seeger, Guillaume Bouchard JMLR W&CP 22: 1012-1018, 2012
[abs][pdf]

Using More Data to Speed-up Training Time
Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer JMLR W&CP 22: 1019-1027, 2012
[abs][pdf][supplementary]

Sparsistency of the Edge Lasso over Graphs
James Sharpnack, Aarti Singh, Alessandro Rinaldo JMLR W&CP 22: 1028-1036, 2012
[abs][pdf]

Complexity of Bethe Approximation
Jinwoo Shin JMLR W&CP 22: 1037-1045, 2012
[abs][pdf]

Multi-armed Bandit Problems with History
Pannagadatta Shivaswamy, Thorsten Joachims JMLR W&CP 22: 1046-1054, 2012
[abs][pdf][supplementary]

On Bisubmodular Maximization
Ajit Singh, Andrew Guillory, Jeff Bilmes JMLR W&CP 22: 1055-1063, 2012
[abs][pdf]

Low rank continuous-space graphical models
Carl Smith, Frank Wood, Liam Paninski JMLR W&CP 22: 1064-1072, 2012
[abs][pdf][supplementary]

On Nonparametric Guidance for Learning Autoencoder Representations
Jasper Snoek, Ryan Adams, Hugo Larochelle JMLR W&CP 22: 1073-1080, 2012
[abs][pdf]

Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization
Kyung-Ah Sohn, Seyoung Kim JMLR W&CP 22: 1081-1089, 2012
[abs][pdf]

Consistency and Rates for Clustering with DBSCAN
Bharath Sriperumbudur, Ingo Steinwart JMLR W&CP 22: 1090-1098, 2012
[abs][pdf][supplementary]

Testing for Membership to the IFRA and the NBU Classes of Distributions
Radhendushka Srivastava, Ping Li, Debasis Sengupta JMLR W&CP 22: 1099-1107, 2012
[abs][pdf]

Flexible Martingale Priors for Deep Hierarchies
Jacob Steinhardt, Zoubin Ghahramani JMLR W&CP 22: 1108-1116, 2012
[abs][pdf][supplementary]

Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach
Florian Stimberg, Andreas Ruttor, Manfred Opper JMLR W&CP 22: 1117-1124, 2012
[abs][pdf]

Learning Fourier Sparse Set Functions
Peter Stobbe, Andreas Krause JMLR W&CP 22: 1125-1133, 2012
[abs][pdf]

Efficient and Exact MAP-MRF Inference using Branch and Bound
Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese JMLR W&CP 22: 1134-1142, 2012
[abs][pdf][supplementary]

Constrained 1-Spectral Clustering
Syama Sundar Rangapuram, Matthias Hein JMLR W&CP 22: 1143-1151, 2012
[abs][pdf][supplementary]

Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness
Taiji Suzuki, Masashi Sugiyama JMLR W&CP 22: 1152-1183, 2012
[abs][pdf]

On Estimation and Selection for Topic Models
Matt Taddy JMLR W&CP 22: 1184-1193, 2012
[abs][pdf]

Lifted Variable Elimination with Arbitrary Constraints
Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel JMLR W&CP 22: 1194-1202, 2012
[abs][pdf]

Multiresolution Deep Belief Networks
Yichuan Tang, Abdel-Rahman Mohamed JMLR W&CP 22: 1203-1211, 2012
[abs][pdf]

Structured Output Learning with High Order Loss Functions
Daniel Tarlow, Richard Zemel JMLR W&CP 22: 1212-1220, 2012
[abs][pdf][supplementary]

Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan Adams, Richard Zemel JMLR W&CP 22: 1221-1229, 2012
[abs][pdf][supplementary]

Fast Variational Mode-Seeking
Bo Thiesson, Jingu Kim JMLR W&CP 22: 1230-1242, 2012
[abs][pdf]

A Bayesian Analysis of the Radioactive Releases of Fukushima
Ryota Tomioka, Morten Mrup JMLR W&CP 22: 1243-1251, 2012
[abs][pdf]

Learning from Weak Teachers
Ruth Urner, Shai Ben David, Ohad Shamir JMLR W&CP 22: 1252-1260, 2012
[abs][pdf]

Krylov Subspace Descent for Deep Learning
Oriol Vinyals, Daniel Povey JMLR W&CP 22: 1261-1268, 2012
[abs][pdf]

Bayesian Group Factor Analysis
Seppo Virtanen, Arto Klami, Suleiman Khan, Samuel Kaski JMLR W&CP 22: 1269-1277, 2012
[abs][pdf]

Minimax Rates of Estimation for Sparse PCA in High Dimensions
Vincent Vu, Jing Lei JMLR W&CP 22: 1278-1286, 2012
[abs][pdf][supplementary]

A Hybrid Neural Network-Latent Topic Model
Li Wan, Leo Zhu, Rob Fergus JMLR W&CP 22: 1287-1294, 2012
[abs][pdf]

Nonlinear low-dimensional regression using auxiliary coordinates
Weiran Wang, Miguel Carreira-Perpinan JMLR W&CP 22: 1295-1304, 2012
[abs][pdf][supplementary]

Generalized Optimal Reverse Prediction
Martha White, Dale Schuurmans JMLR W&CP 22: 1305-1313, 2012
[abs][pdf][supplementary]

Causality with Gates
John Winn JMLR W&CP 22: 1314-1322, 2012
[abs][pdf]

Primal-Dual methods for sparse constrained matrix completion
Yu Xin, Tommi Jaakkola JMLR W&CP 22: 1323-1331, 2012
[abs][pdf]

Statistical Optimization in High Dimensions
Huan Xu, Constantine Caramanis, Shie Mannor JMLR W&CP 22: 1332-1340, 2012
[abs][pdf]

Robust Multi-task Regression with Grossly Corrupted Observations
Huan Xu, Chenlei Leng JMLR W&CP 22: 1341-1349, 2012
[abs][pdf][supplementary]

Active Learning from Multiple Knowledge Sources
Yan Yan, Romer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer Dy JMLR W&CP 22: 1350-1357, 2012
[abs][pdf]

Perturbation based Large Margin Approach for Ranking
Eunho Yang, Ambuj Tewari, Pradeep Ravikumar JMLR W&CP 22: 1358-1366, 2012
[abs][pdf]

Transductive Learning of Structural SVMs via Prior Knowledge Constraints
Chun-Nam Yu JMLR W&CP 22: 1367-1376, 2012
[abs][pdf]

Forward Basis Selection for Sparse Approximation over Dictionary
Xiaotong Yuan, Shuicheng Yan JMLR W&CP 22: 1377-1388, 2012
[abs][pdf]

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun, S V N Vishwanathan JMLR W&CP 22: 1389-1397, 2012
[abs][pdf][supplementary]

Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers
Caoxie Zhang, Honglak Lee, Kang Shin JMLR W&CP 22: 1398-1406, 2012
[abs][pdf]

A Composite Likelihood View for Multi-Label Classification
Yi Zhang, Jeff Schneider JMLR W&CP 22: 1407-1415, 2012
[abs][pdf]

An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling
Zhihua Zhang, Dakan Wang, Edward Chang JMLR W&CP 22: 1416-1424, 2012
[abs][pdf]

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach
Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen JMLR W&CP 22: 1425-1434, 2012
[abs][pdf]

Sparse Additive Machine
Tuo Zhao, Han Liu JMLR W&CP 22: 1435-1443, 2012
[abs][pdf]

Multi-label Subspace Ensemble
Tianyi Zhou, Dacheng Tao JMLR W&CP 22: 1444-1452, 2012
[abs][pdf]

Online Incremental Feature Learning with Denoising Autoencoders
Guanyu Zhou, Kihyuk Sohn, Honglak Lee JMLR W&CP 22: 1453-1461, 2012
[abs][pdf][supplementary]

Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson, Lawrence Carin JMLR W&CP 22: 1462-1471, 2012
[abs][pdf]

Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
J. Zico Kolter, Tommi Jaakkola JMLR W&CP 22: 1472-1482, 2012
[abs][pdf][supplementary]


Page last modified on Thu April 26 2012 13:56 2012.

webmasterjmlr.org Copyright@JMLR 2000. All rights reserved.