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Text Analytics for Resilience-Enabled Extreme EventsReconnaissance

Nov 26, 2020
Alicia Y. Tsai, Selim Gunay, Minjune Hwang, Pengyuan Zhai, Chenglong Li, Laurent El Ghaoui, Khalid M. Mosalam

* Published at NeurIPS 2020 Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response (AI+HADR 2020) 

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Implicit Graph Neural Networks

Sep 14, 2020
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui

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FANOK: Knockoffs in Linear Time

Jun 15, 2020
Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui

* For code see 

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Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization

Feb 29, 2020
Geoffrey Négiar, Gideon Dresdner, Alicia Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa

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Implicit Deep Learning

Aug 22, 2019
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari

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Naive Feature Selection: Sparsity in Naive Bayes

May 23, 2019
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui

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Theoretically Principled Trade-off between Robustness and Accuracy

Jan 24, 2019
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan

* Technical details of the winning entry to the NeurIPS 2018 Adversarial Vision Challenge 

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Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training

Nov 20, 2018
Fangda Gu, Armin Askari, Laurent El Ghaoui

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Frank-Wolfe Algorithm for Exemplar Selection

Nov 06, 2018
Gary Cheng, Armin Askari, Laurent El Ghaoui, Kannan Ramchandran

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Lifted Neural Networks

Jun 21, 2018
Armin Askari, Geoffrey Negiar, Rajiv Sambharya, Laurent El Ghaoui

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Kernel-based Outlier Detection using the Inverse Christoffel Function

Jun 18, 2018
Armin Askari, Forest Yang, Laurent El Ghaoui

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Robust sketching for multiple square-root LASSO problems

Oct 30, 2014
Vu Pham, Laurent El Ghaoui, Arturo Fernandez

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Concise comparative summaries (CCS) of large text corpora with a human experiment

Apr 29, 2014
Jinzhu Jia, Luke Miratrix, Bin Yu, Brian Gawalt, Laurent El Ghaoui, Luke Barnesmoore, Sophie Clavier

* Annals of Applied Statistics 2014, Vol. 8, No. 1, 499-529 
* Published in at the Annals of Applied Statistics ( by the Institute of Mathematical Statistics (

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Large-Scale Sparse Principal Component Analysis with Application to Text Data

Oct 26, 2012
Youwei Zhang, Laurent El Ghaoui

* Appeared in the proceedings of NIPS 2011; The Neural Information Processing Systems Conference (NIPS), Granada, Spain, December 2011 

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Safe Feature Elimination for the LASSO and Sparse Supervised Learning Problems

May 18, 2011
Laurent El Ghaoui, Vivian Viallon, Tarek Rabbani

* Submitted to JMLR in April 2011 

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Safe Feature Elimination in Sparse Supervised Learning

Oct 26, 2010
Laurent El Ghaoui, Vivian Viallon, Tarek Rabbani

* New version is on arXiv:1009.4219 

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Optimal Solutions for Sparse Principal Component Analysis

Nov 09, 2007
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui

* Revised journal version. More efficient optimality conditions and new examples in subset selection and sparse recovery. Original version is in ICML proceedings 

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Model Selection Through Sparse Maximum Likelihood Estimation

Jul 04, 2007
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont

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Sparse Covariance Selection via Robust Maximum Likelihood Estimation

Jun 08, 2005
Onureena Banerjee, Alexandre d'Aspremont, Laurent El Ghaoui

* Submitted to NIPS 2005 

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