Lebanon, Guy

40 publications

JMLR 2016 LLORMA: Local Low-Rank Matrix Approximation Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

AAAI 2015 Estimating Temporal Dynamics of Human Emotions Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

AAAI 2015 Local Context Sparse Coding Seungyeon Kim, Joonseok Lee, Guy Lebanon, Haesun Park

AISTATS 2015 Preface Guy Lebanon, S. V. N. Vishwanathan

AISTATS 2015 Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015 Guy Lebanon, S. V. N. Vishwanathan

AISTATS 2013 Beyond Sentiment: The Manifold of Human Emotions Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa

CVPR 2013 Composite Statistical Inference for Semantic Segmentation Fuxin Li, Joao Carreira, Guy Lebanon, Cristian Sminchisescu

ICML 2013 Local Low-Rank Matrix Approximation Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

ICLR 2013 Matrix Approximation Under Local Low-Rank Assumption Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

ICML 2013 Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations Krishnakumar Balasubramanian, Kai Yu, Guy Lebanon

ICLR 2013 The Manifold of Human Emotions Seungyeon Kim, Fuxin Li, Guy Lebanon, Irfan A. Essa

AISTATS 2013 Ultrahigh Dimensional Feature Screening via RKHS Embeddings Krishnakumar Balasubramanian, Bharath K. Sriperumbudur, Guy Lebanon

NeurIPS 2012 Automatic Feature Induction for Stagewise Collaborative Filtering Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon

CVPR 2012 Chebyshev Approximations to the Histogram Χ2 Kernel Fuxin Li, Guy Lebanon, Cristian Sminchisescu

MLOSS 2012 PREA: Personalized Recommendation Algorithms Toolkit Joonseok Lee, Mingxuan Sun, Guy Lebanon

ICML 2012 The Landmark Selection Method for Multiple Output Prediction Krishnakumar Balasubramanian, Guy Lebanon

AISTATS 2011 Estimating Probabilities in Recommendation Systems Mingxuan Sun, Guy Lebanon, Paul Kidwell

JMLR 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon

AISTATS 2011 Unsupervised Supervised Learning II: Margin-Based Classification Without Labels Krishnakumar Balasubramanian, Pinar Donmez, Guy Lebanon

ICML 2010 Asymptotic Analysis of Generative Semi-Supervised Learning Joshua V. Dillon, Krishnakumar Balasubramanian, Guy Lebanon

JMLR 2010 Stochastic Composite Likelihood Joshua V. Dillon, Guy Lebanon

JMLR 2010 Unsupervised Supervised Learning I: Estimating Classification and Regression Errors Without Labels Pinar Donmez, Guy Lebanon, Krishnakumar Balasubramanian

UAI 2009 Domain Knowledge Uncertainty and Probabilistic Parameter Constraints Yi Mao, Guy Lebanon

MLJ 2009 Generalized Isotonic Conditional Random Fields Yi Mao, Guy Lebanon

AISTATS 2009 Statistical and Computational Tradeoffs in Stochastic Composite Likelihood Joshua Dillon, Guy Lebanon

ICML 2008 Local Likelihood Modeling of Temporal Text Streams Guy Lebanon, Yang Zhao

JMLR 2008 Non-Parametric Modeling of Partially Ranked Data Guy Lebanon, Yi Mao

NeurIPS 2007 Non-Parametric Modeling of Partially Ranked Data Guy Lebanon, Yi Mao

UAI 2007 Statistical Translation, Heat Kernels and Expected Distances Joshua V. Dillon, Yi Mao, Guy Lebanon, Jian Zhang

JMLR 2007 The Locally Weighted Bag of Words Framework for Document Representation Guy Lebanon, Yi Mao, Joshua Dillon

NeurIPS 2006 Isotonic Conditional Random Fields and Local Sentiment Flow Yi Mao, Guy Lebanon

UAI 2006 Sequential Document Representations and Simplicial Curves Guy Lebanon

JMLR 2005 Diffusion Kernels on Statistical Manifolds John Lafferty, Guy Lebanon

UAI 2004 An Extended Cencov-Campbell Characterization of Conditional Information Geometry Guy Lebanon

ICML 2004 Hyperplane Margin Classifiers on the Multinomial Manifold Guy Lebanon, John D. Lafferty

UAI 2003 Learning Riemannian Metrics Guy Lebanon

NeurIPS 2002 Conditional Models on the Ranking Poset Guy Lebanon, John D. Lafferty

ICML 2002 Cranking: Combining Rankings Using Conditional Probability Models on Permutations Guy Lebanon, John D. Lafferty

NeurIPS 2002 Information Diffusion Kernels Guy Lebanon, John D. Lafferty

NeurIPS 2001 Boosting and Maximum Likelihood for Exponential Models Guy Lebanon, John D. Lafferty