El Ghaoui, Laurent

19 publications

ICML 2025 Tree-Sliced Wasserstein Distance with Nonlinear Projection Thanh Tran, Hoang V. Tran, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen
NeurIPSW 2022 On the Abilities of Mathematical Extrapolation with Implicit Models Juliette Decugis, Max Emerling, Ashwin Ganesh, Alicia Y. Tsai, Laurent El Ghaoui
NeurIPSW 2022 On the Abilities of Mathematical Extrapolation with Implicit Models Juliette Decugis, Alicia Y. Tsai, Ashwin Ganesh, Max Emerling, Laurent El Ghaoui
NeurIPSW 2022 On the Abilities of Mathematical Extrapolation with Implicit Models Juliette Decugis, Alicia Y. Tsai, Ashwin Ganesh, Max Emerling, Laurent El Ghaoui
AAAI 2022 Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
AISTATS 2020 Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training Fangda Gu, Armin Askari, Laurent El Ghaoui
NeurIPS 2020 Implicit Graph Neural Networks Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui
AISTATS 2020 Naive Feature Selection: Sparsity in Naive Bayes Armin Askari, Alexandre d’Aspremont, Laurent El Ghaoui
ICML 2020 Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization Geoffrey Negiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa
ICML 2019 Theoretically Principled Trade-Off Between Robustness and Accuracy Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric Xing, Laurent El Ghaoui, Michael Jordan
AISTATS 2015 Robust Sketching for Multiple Square-Root LASSO Problems Vu Pham, Laurent El Ghaoui
JMLR 2008 Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
JMLR 2008 Optimal Solutions for Sparse Principal Component Analysis Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
ICML 2007 Full Regularization Path for Sparse Principal Component Analysis Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
ICML 2006 Convex Optimization Techniques for Fitting Sparse Gaussian Graphical Models Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis
JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming Gert R.G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui, Michael I. Jordan
NeurIPS 2003 Robustness in Markov Decision Problems with Uncertain Transition Matrices Arnab Nilim, Laurent El Ghaoui
JMLR 2002 A Robust Minimax Approach to Classification Gert R.G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
ICML 2002 Learning the Kernel Matrix with Semi-Definite Programming Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan