Search results for "Journal of Machine Learning Research - Proceedings Track"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Venkatesh Saligrama, Manqi Zhao	Local Anomaly Detection.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ajit Singh, Andrew Guillory, Jeff Bilmes	On Bisubmodular Maximization.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yu Xin, Tommi Jaakkola	Primal-Dual methods for sparse constrained matrix completion.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Quanquan Gu, Marina Danilevsky, Zhenhui Li, Jiawei Han	Locality Preserving Feature Learning.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yevgeny Seldin, Nicolò Cesa-Bianchi, Peter Auer, François Laviolette, John Shawe-Taylor	PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Xiaohui Chen, Xinghua Shi, Xing Xu, Zhiyong Wang, Ryan Mills, Charles Lee, Jinbo Xu	A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Zhihua Zhang, Dakan Wang, Edward Y. Chang	An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Peter Stobbe, Andreas Krause	Learning Fourier Sparse Set Functions.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Joseph K. Bradley, Carlos Guestrin	Sample Complexity of Composite Likelihood.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alexandra Carpentier, Rémi Munos	Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Chun-Nam Yu	Transductive Learning of Structural SVMs via Prior Knowledge Constraints.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Genevera Allen	Sparse Higher-Order Principal Components Analysis.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Min Sun, Murali Telaprolu, Honglak Lee, Silvio Savarese	Efficient and Exact MAP-MRF Inference using Branch and Bound.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	John Winn	Causality with Gates.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar	Perturbation based Large Margin Approach for Ranking.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Arnak S. Dalalyan, Olivier Collier	Wilks' phenomenon and penalized likelihood-ratio test for nonparametric curve registration.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Minh Hoai Nguyen, Fernando De la Torre	Maximum Margin Temporal Clustering.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Caoxie Zhang, Honglak Lee, Kang Shin	Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Eftychios A. Pnevmatikakis, Liam Paninski	Fast interior-point inference in high-dimensional sparse, penalized state-space models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Huan Xu, Constantine Caramanis, Shie Mannor	Statistical Optimization in High Dimensions.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yi Zhang, Jeff Schneider	A Composite Likelihood View for Multi-Label Classification.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Justin Domke	Generic Methods for Optimization-Based Modeling.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Francesco Orabona, Nicolò Cesa-Bianchi, Claudio Gentile	Beyond Logarithmic Bounds in Online Learning.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Guha Balakrishnan, Zeeshan Syed	Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy	A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Martha White, Dale Schuurmans	Generalized Optimal Reverse Prediction.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Sivaraman Balakrishnan, Alessandro Rinaldo, Don Sheehy, Aarti Singh, Larry A. Wasserman	Minimax rates for homology inference.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Brian Eriksson, Laura Balzano, Robert Nowak	High-Rank Matrix Completion.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alexander Grubb, Drew Bagnell	SpeedBoost: Anytime Prediction with Uniform Near-Optimality.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jaakko Luttinen, Alexander Ilin	Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jörg Lücke, Marc Henniges	Closed-Form Entropy Limits - A Tool to Monitor Likelihood Optimization of Probabilistic Generative Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Nima Taghipour, Daan Fierens, Jesse Davis, Hendrik Blockeel	Lifted Variable Elimination with Arbitrary Constraints.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ruth Urner, Shai Ben-David, Ohad Shamir	Learning from Weak Teachers.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Guangcan Liu, Huan Xu, Shuicheng Yan	Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Galen Andrew, Jeff Bilmes	Memory-efficient inference in dynamic graphical models using multiple cores.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu	Approximate Inference by Intersecting Semidefinite Bound and Local Polytope.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Matt Taddy	On Estimation and Selection for Topic Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Luca Baldassarre, Jean Morales, Andreas Argyriou, Massimiliano Pontil	A General Framework for Structured Sparsity via Proximal Optimization.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Avneesh Singh Saluja, Priya Krishnan Sundararajan, Ole J. Mengshoel	Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Michael A. Osborne, Roman Garnett, Stephen J. Roberts, Christopher Hart, Suzanne Aigrain, Neale Gibson	Bayesian Quadrature for Ratios.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Bo Thiesson, Jingu Kim	Fast Variational Mode-Seeking.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Gal Elidan	Copula Network Classifiers (CNCs).	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Dahua Lin, John W. Fisher III	Efficient Sampling from Combinatorial Space via Bridging.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando de Freitas	Adaptive MCMC with Bayesian Optimization.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen	Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Huan Xu, Chenlei Leng	Robust Multi-task Regression with Grossly Corrupted Observations.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jacob Steinhardt, Zoubin Ghahramani	Flexible Martingale Priors for Deep Hierarchies.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alexandre Lacoste, François Laviolette, Mario Marchand	Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Hossein Azari Soufiani, Edo Airoldi	Graphlet decomposition of a weighted network.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang	Bandits with Generalized Linear Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Gal Elidan	Lightning-speed Structure Learning of Nonlinear Continuous Networks.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Martin Schiegg, Marion Neumann, Kristian Kersting	Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl	Adaptive Metropolis with Online Relabeling.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Tapani Raiko, Harri Valpola, Yann LeCun	Deep Learning Made Easier by Linear Transformations in Perceptrons.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Shai Shalev-Shwartz, Ohad Shamir, Eran Tromer	Using More Data to Speed-up Training Time.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Felix V. Agakov, Peter Orchard, Amos J. Storkey	Discriminative Mixtures of Sparse Latent Fields for Risk Management.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Tuo Zhao, Han Liu	Sparse Additive Machine.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Roi Livni, Koby Crammer, Amir Globerson	A Simple Geometric Interpretation of SVM using Stochastic Adversaries.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Chris Lovell, Gareth Jones, Klaus-Peter Zauner, Steve R. Gunn	Exploration and Exploitation with Insufficient Resources.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem	Classifier Cascade for Minimizing Feature Evaluation Cost.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M. Mitchell	Hierarchical Latent Dictionaries for Models of Brain Activation.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Christopher C. Johnson, Ali Jalali, Pradeep D. Ravikumar	High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Robert J. Durrant, Ata Kabán	Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Marius Leordeanu, Cristian Sminchisescu	Efficient Hypergraph Clustering.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Purushottam Kar, Harish Karnick	Random Feature Maps for Dot Product Kernels.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Daniel Tarlow, Ryan Prescott Adams, Richard S. Zemel	Randomized Optimum Models for Structured Prediction.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	James Sharpnack, Aarti Singh, Alessandro Rinaldo	Sparsistency of the Edge Lasso over Graphs.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Xiaoye Jiang, Yuan Yao, Han Liu, Leonidas J. Guibas	Detecting Network Cliques with Radon Basis Pursuit.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Daniel Tarlow, Richard S. Zemel	Structured Output Learning with High Order Loss Functions.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Huyen Do, Alexandros Kalousis, Jun Wang, Adam Woznica	A metric learning perspective of SVM: on the relation of LMNN and SVM.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Patrick Pletscher, Cheng Soon Ong	Part & Clamp: Efficient Structured Output Learning.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alexander Paprotny, Jochen Garcke	On a Connection between Maximum Variance Unfolding, Shortest Path Problems and IsoMap.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jyri J. Kivinen, Christopher K. I. Williams	Multiple Texture Boltzmann Machines.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Anna Choromanska, Claire Monteleoni	Online Clustering with Experts.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Dean P. Foster, Alexander Rakhlin	No Internal Regret via Neighborhood Watch.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford, Robert E. Schapire	Contextual Bandit Learning with Predictable Rewards.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ming Ji, Jiawei Han	A Variance Minimization Criterion to Active Learning on Graphs.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Franziska Meier, Evangelos Theodorou, Stefan Schaal	Movement Segmentation and Recognition for Imitation Learning.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Anna Choromanska, Claire Monteleoni	Online Clustering with Experts.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Bernardino Romera-Paredes, Andreas Argyriou, Nadia Berthouze, Massimiliano Pontil	Exploiting Unrelated Tasks in Multi-Task Learning.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster	Domain Adaptation: A Small Sample Statistical Approach.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Hyun-Chul Kim, Zoubin Ghahramani	Bayesian Classifier Combination.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Martin Mladenov, Babak Ahmadi, Kristian Kersting	Lifted Linear Programming.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Gergely Neu, András György, Csaba Szepesvári	The adversarial stochastic shortest path problem with unknown transition probabilities.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Emilie Kaufmann, Olivier Cappé, Aurélien Garivier	On Bayesian Upper Confidence Bounds for Bandit Problems.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yuri Grinberg, Doina Precup	On Average Reward Policy Evaluation in Infinite-State Partially Observable Systems.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Hal Daumé III, Jeff M. Phillips, Avishek Saha, Suresh Venkatasubramanian	Protocols for Learning Classifiers on Distributed Data.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Arun Rajkumar, Shivani Agarwal	A Differentially Private Stochastic Gradient Descent Algorithm for Multiparty Classification.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jie Liu, Chunming Zhang, Catherine A. McCarty, Peggy L. Peissig, Elizabeth S. Burnside, C. David Page Jr.	High-Dimensional Structured Feature Screening Using Binary Markov Random Fields.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Adam Pocock, Mikel Luján, Gavin Brown	Informative Priors for Markov Blanket Discovery.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Franz J. Király, Paul von Bünau, Jan Saputra Müller, Duncan A. J. Blythe, Frank C. Meinecke, Klaus-Robert Müller	Regression for sets of polynomial equations.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Guy Lever, Tom Diethe, John Shawe-Taylor	Data dependent kernels in nearly-linear time.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Vincent Q. Vu, Jing Lei	Minimax Rates of Estimation for Sparse PCA in High Dimensions.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jean Honorio, Dimitris Samaras, Irina Rish, Guillermo A. Cecchi	Variable Selection for Gaussian Graphical Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yichuan Tang, Abdel-rahman Mohamed	Multiresolution Deep Belief Networks.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Azadeh Khaleghi, Daniil Ryabko, Jérémie Mary, Philippe Preux	Online Clustering of Processes.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Bryan Conroy, Paul Sajda	Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Grégoire Montavon, Mikio L. Braun, Klaus-Robert Müller	Deep Boltzmann Machines as Feed-Forward Hierarchies.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Ryota Tomioka, Morten Mørup	A Bayesian Analysis of the Radioactive Releases of Fukushima.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Yan Yan, Rómer Rosales, Glenn Fung, Faisal Farooq, Bharat Rao, Jennifer G. Dy	Active Learning from Multiple Knowledge Sources.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF

Publications at "Journal of Machine Learning Research - Proceedings Track"( http://dblp.L3S.de/Venues/Journal_of_Machine_Learning_Research_-_Proceedings_Track )