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All publications by Laurent E. Ghaoui
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Recovery of Sparse Probability Measures via Convex Programming
Mert Pilanci, Laurent E. Ghaoui and Venkat Chandrasekaran
Advances in Neural Information Processing Systems 25, 2012


Large-Scale Sparse Principal Component Analysis with Application to Text Data
Youwei Zhang and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 24, 2011


Optimal Solutions for Sparse Principal Component Analysis
Alexandre D'aspremont, Laurent E. Ghaoui and Francis R. Bach
Journal of Machine Learning Research, 2008


Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
Onureena Banerjee, Laurent E. Ghaoui and Alexandre D'aspremont
Journal of Machine Learning Research, 2008


A Convex Upper Bound on the Log-Partition Function for Binary Distributions
Laurent E. Ghaoui and Assane Gueye
Advances in Neural Information Processing Systems 21, 2008


An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 21, 2008


Full regularization path for sparse principal component analysis
Alexandre D'aspremont, Francis R. Bach and Laurent E. Ghaoui
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Convex optimization techniques for fitting sparse Gaussian graphical models
Onureena Banerjee, Laurent E. Ghaoui, Alexandre D'aspremont and Georges Natsoulis
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


A Direct Formulation for Sparse PCA Using Semidefinite Programming
Alexandre D'aspremont, Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 17, 2004


Learning the Kernel Matrix with Semidefinite Programming
Gert Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent E. Ghaoui and Michael I. Jordan
Journal of Machine Learning Research, 2004


Robustness in Markov Decision Problems with Uncertain Transition Matrices
Arnab Nilim and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 16, 2003


A Robust Minimax Approach to Classification
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Journal of Machine Learning Research, 2002


Robust Novelty Detection with Single-Class MPM
Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 15, 2002


Minimax Probability Machine
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001