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All publications by Guy Lebanon
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Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon and Yoram Singer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian, Kai Yu and Guy Lebanon
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Automatic Feature Induction for Stagewise Collaborative Filtering
Joonseok Lee, Mingxuan Sun, Guy Lebanon and Seung-jean Kim
Advances in Neural Information Processing Systems 25, 2012


The Landmark Selection Method for Multiple Output Prediction
Krishnakumar Balasubramanian and Guy Lebanon
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Estimating Probabilities in Recommendation Systems
Mingxuan Sun, Guy Lebanon and Paul Kidwell
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Unsupervised Supervised Learning II: Margin-Based Classification without Labels
Krishnakumar Balasubramanian, Pinar Donmez and Guy Lebanon
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Asymptotic Analysis of Generative Semi-Supervised Learning
Joshua V. Dillon, Krishnakumar Balasubramanian and Guy Lebanon
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Statistical and Computational Tradeoffs in Stochastic Composite Likelihood
Joshua V. Dillon and Guy Lebanon
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Local likelihood modeling of temporal text streams
Guy Lebanon and Yang Zhao
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Non-parametric Modeling of Partially Ranked Data
Guy Lebanon and Yi Mao
Advances in Neural Information Processing Systems 20, 2007


The Locally Weighted Bag of Words Framework for Document Representation
Guy Lebanon, Yi Mao and Joshua V. Dillon
Journal of Machine Learning Research, 2007


Isotonic Conditional Random Fields and Local Sentiment Flow
Yi Mao and Guy Lebanon
Advances in Neural Information Processing Systems 19, 2006


Diffusion Kernels on Statistical Manifolds
John D. Lafferty and Guy Lebanon
Journal of Machine Learning Research, 2005


Hyperplane margin classifiers on the multinomial manifold
Guy Lebanon and John D. Lafferty
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Conditional Models on the Ranking Poset
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 15, 2002


Information Diffusion Kernels
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 15, 2002


Boosting and Maximum Likelihood for Exponential Models
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 14, 2001