Laurent El Ghaoui

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 38

Top Venues

CoRR

CDC

SIAM J. Math. Data Sci.

AISTATS

Publications

Juliette Decugis, Alicia Y. Tsai, Max Emerling, Ashwin Ganesh, Laurent El Ghaoui
The Extrapolation Power of Implicit Models. CoRR (2024)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: A Nearly Tight Convex Relaxation for Sparse Naive Bayes. Math. Oper. Res. 49 (1) (2024)
Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak
Data-Driven Reachability and Support Estimation With Christoffel Functions. IEEE Trans. Autom. Control. 68 (9) (2023)
Alicia Y. Tsai, Juliette Decugis, Laurent El Ghaoui, Alper Atamtürk
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks. CoRR (2022)
Alicia Y. Tsai, Laurent El Ghaoui
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm. CoRR (2022)
Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui
A Sequential Greedy Approach for Training Implicit Deep Models. CDC (2022)
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. AAAI (2022)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Approximation Bounds for Sparse Programs. SIAM J. Math. Data Sci. 4 (2) (2022)
Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. ACC (2022)
Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak
Data-Driven Reachability analysis and Support set Estimation with Christoffel Functions. CoRR (2021)
Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui
FANOK: Knockoffs in Linear Time. SIAM J. Math. Data Sci. 3 (3) (2021)
Jennifer C. Shih, Laurent El Ghaoui
Reachability-based Safe Planning for Multi-Vehicle Systems withMultiple Targets. CoRR (2021)
Jennifer C. Shih, Akshara Rai, Laurent El Ghaoui
Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems. CoRR (2021)
Fangda Gu, He Yin, Laurent El Ghaoui, Murat Arcak, Peter J. Seiler, Ming Jin
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems. CoRR (2021)
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari, Alicia Y. Tsai
Implicit Deep Learning. SIAM J. Math. Data Sci. 3 (3) (2021)
Jennifer C. Shih, Laurent El Ghaoui
Reachability-based Safe Planning for Multi-Vehicle Systems with Multiple Targets. ACC (2021)
Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak
Data-Driven Reachability Analysis with Christoffel Functions. CDC (2021)
Alex Devonport, Forest Yang, Laurent El Ghaoui, Murat Arcak
Data-Driven Reachability Analysis with Christoffel Functions. CoRR (2021)
Fangda Gu, Laurent El Ghaoui, Guillaume Darmet
Grid Topology Estimation in Electrical Markets via Diagonally Dominant Laplacian. ISGT-Europe (2021)
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Fabian Pedregosa
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. CoRR (2020)
Alicia Y. Tsai, Laurent El Ghaoui
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm. SustaiNLP@EMNLP (2020)
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui
Implicit Graph Neural Networks. NeurIPS (2020)
Fangda Gu, Heng Chang, Wenwu Zhu, Somayeh Sojoudi, Laurent El Ghaoui
Implicit Graph Neural Networks. CoRR (2020)
Alicia Y. Tsai, Selim Gunay, Minjune Hwang, Pengyuan Zhai, Chenglong Li, Laurent El Ghaoui, Khalid M. Mosalam
Text Analytics for Resilience-Enabled Extreme EventsReconnaissance. CoRR (2020)
Bertrand Travacca, Laurent El Ghaoui, Scott J. Moura
Implicit Optimization: Models and Methods. CDC (2020)
Fangda Gu, Armin Askari, Laurent El Ghaoui
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training. AISTATS (2020)
Geoffrey Négiar, Gideon Dresdner, Alicia Y. Tsai, Laurent El Ghaoui, Francesco Locatello, Robert Freund, Fabian Pedregosa
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization. ICML (2020)
Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui
FANOK: Knockoffs in Linear Time. CoRR (2020)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: Sparsity in Naive Bayes. AISTATS (2020)
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan
Theoretically Principled Trade-off between Robustness and Accuracy. CoRR (2019)
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari
Implicit Deep Learning. CoRR (2019)
Armin Askari, Alexandre d'Aspremont, Laurent El Ghaoui
Naive Feature Selection: Sparsity in Naive Bayes. CoRR (2019)
Hongyang Zhang, Yaodong Yu, Jiantao Jiao, Eric P. Xing, Laurent El Ghaoui, Michael I. Jordan
Theoretically Principled Trade-off between Robustness and Accuracy. ICML (2019)
Armin Askari, Forest Yang, Laurent El Ghaoui
Kernel-based Outlier Detection using the Inverse Christoffel Function. CoRR (2018)
Gary Cheng, Armin Askari, Laurent El Ghaoui, Kannan Ramchandran
Frank-Wolfe Algorithm for Exemplar Selection. CoRR (2018)
Fangda Gu, Armin Askari, Laurent El Ghaoui
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training. CoRR (2018)
Armin Askari, Geoffrey Négiar, Rajiv Sambharya, Laurent El Ghaoui
Lifted Neural Networks. CoRR (2018)
Jean Pauphilet, Diego Kiner, Damien Faille, Laurent El Ghaoui
A tractable numerical strategy for robust MILP and application to energy management. CDC (2016)
Mert Pilanci, Martin J. Wainwright, Laurent El Ghaoui
Sparse learning via Boolean relaxations. Math. Program. 151 (1) (2015)
Vu Pham, Laurent El Ghaoui
Robust sketching for multiple square-root LASSO problems. AISTATS (2015)
Giuseppe Carlo Calafiore, Laurent El Ghaoui, Carlo Novara
Sparse identification of posynomial models. Autom. 59 (2015)
Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora. ICMLA (2014)
Vu Pham, Laurent El Ghaoui, Arturo Fernández
Robust sketching for multiple square-root LASSO problems. CoRR (2014)
Jinzhu Jia, Luke Miratrix, Bin Yu, Brian Gawalt, Laurent El Ghaoui, Luke Barnesmoore, Sophie Clavier
Concise comparative summaries (CCS) of large text corpora with a human experiment. CoRR (2014)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Approximation bounds for sparse principal component analysis. Math. Program. 148 (1-2) (2014)
Giuseppe Carlo Calafiore, Laurent El Ghaoui, Carlo Novara
Sparse Identification of Polynomial and Posynomial Models. CoRR (2013)
Aude Hofleitner, Tarek Rabbani, Laurent El Ghaoui, Alexandre M. Bayen
Online Homotopy Algorithm for a Generalization of the LASSO. IEEE Trans. Autom. Control. 58 (12) (2013)
Laurent El Ghaoui, Vu Pham, Guan-Cheng Li, Viet-An Duong, Ashok N. Srivastava, Kanishka Bhaduri
Understanding large text corpora via sparse machine learning. Stat. Anal. Data Min. 6 (3) (2013)
Samuel Smith, Jae Yeon (Claire) Baek, Zhaoyi Kang, Dawn Song, Laurent El Ghaoui, Mario Frank
Predicting Congressional Votes Based on Campaign Finance Data. ICMLA (1) (2012)
Mert Pilanci, Laurent El Ghaoui, Venkat Chandrasekaran
Recovery of Sparse Probability Measures via Convex Programming. NIPS (2012)
Sayed Yusef Shafi, Murat Arcak, Laurent El Ghaoui
Graph Weight Allocation to Meet Laplacian Spectral Constraints. IEEE Trans. Autom. Control. 57 (7) (2012)
Youwei Zhang, Laurent El Ghaoui
Large-Scale Sparse Principal Component Analysis with Application to Text Data CoRR (2012)
Xinyu Dai, Jinzhu Jia, Laurent El Ghaoui, Bin Yu
SBA-term: Sparse Bilingual Association for Terms. ICSC (2011)
Sayed Yusef Shafi, Murat Arcak, Laurent El Ghaoui
Graph weight design for Laplacian eigenvalue constraints with multi-agent systems applications. CDC/ECC (2011)
Alexandre d'Aspremont, Laurent El Ghaoui
Testing the nullspace property using semidefinite programming. Math. Program. 127 (1) (2011)
Laurent El Ghaoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri
Sparse Machine Learning Methods for Understanding Large Text Corpora. CIDU (2011)
Youwei Zhang, Laurent El Ghaoui
Large-Scale Sparse Principal Component Analysis with Application to Text Data. NIPS (2011)
Aude Hofleitner, Laurent El Ghaoui, Alexandre M. Bayen
Online least-squares estimation of time varying systems with sparse temporal evolution and application to traffic estimation. CDC/ECC (2011)
Brian Gawalt, Jinzhu Jia, Luke Miratrix, Laurent El Ghaoui, Bin Yu, Sophie Clavier
Discovering word associations in news media via feature selection and sparse classification. Multimedia Information Retrieval (2010)
Yu Ben, Laurent El Ghaoui, Kameshwar Poolla, Costas J. Spanos
Yield-constrained digital circuit sizing via sequential geometric programming. ISQED (2010)
Laurent El Ghaoui, Vivian Viallon, Tarek Rabbani
Safe Feature Elimination in Sparse Supervised Learning CoRR (2010)
Sayed Yusef Shafi, Murat Arcak, Laurent El Ghaoui
Designing node and edge weights of a graph to meet Laplacian eigenvalue constraints. Allerton (2010)
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El Ghaoui
Parameter estimation with expected and residual-at-risk criteria. Syst. Control. Lett. 58 (1) (2009)
Sebastien Blandin, Laurent El Ghaoui, Alexandre M. Bayen
Kernel regression for travel time estimation via convex optimization. CDC (2009)
Giuseppe Carlo Calafiore, Ufuk Topcu, Laurent El Ghaoui
Parameter estimation with expected and residual-at-risk criteria. CDC (2008)
Ufuk Topcu, Giuseppe Carlo Calafiore, Laurent El Ghaoui
Multistage investments with recourse: A single-asset case with transaction costs. CDC (2008)
Alexandre d'Aspremont, Onureena Banerjee, Laurent El Ghaoui
First-Order Methods for Sparse Covariance Selection. SIAM J. Matrix Anal. Appl. 30 (1) (2008)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Optimal Solutions for Sparse Principal Component Analysis. J. Mach. Learn. Res. 9 (2008)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data. J. Mach. Learn. Res. 9 (2008)
Laurent El Ghaoui, Assane Gueye
A Convex Upper Bound on the Log-Partition Function for Binary Distributions. NIPS (2008)
Pierre Garrigues, Laurent El Ghaoui
An Homotopy Algorithm for the Lasso with Online Observations. NIPS (2008)
Giuseppe Carlo Calafiore, Laurent El Ghaoui
Linear Programming with Probability Constraints - Part 1. ACC (2007)
Giuseppe Carlo Calafiore, Laurent El Ghaoui
Linear Programming with Probability Constraints - Part 2. ACC (2007)
Alexandre d'Aspremont, Laurent El Ghaoui
A Semidefinite Relaxation for Air Traffic Flow Scheduling. RIVF (2007)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Full regularization path for sparse principal component analysis. ICML (2007)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont
Model Selection Through Sparse Maximum Likelihood Estimation CoRR (2007)
Saurabh Amin, Alexandre M. Bayen, Laurent El Ghaoui, S. Shankar Sastry
Robust feasibility for control of water flow in a reservoir-canal system. CDC (2007)
Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
Optimal Solutions for Sparse Principal Component Analysis CoRR (2007)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A Direct Formulation for Sparse PCA Using Semidefinite Programming. SIAM Rev. 49 (3) (2007)
Alexandre d'Aspremont, Laurent El Ghaoui
Static arbitrage bounds on basket option prices. Math. Program. 106 (3) (2006)
Alexandre d'Aspremont, Laurent El Ghaoui
A Semidefinite Relaxation for Air Traffic Flow Scheduling CoRR (2006)
Alexandre d'Aspremont, Devan Sohier, Arnab Nilim, Laurent El Ghaoui, Vu Duong
Optimal path planning for air traffic flow management under stochastic weather and capacity constraints. RIVF (2006)
Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Foreword: special issue on robust optimization. Math. Program. 107 (1-2) (2006)
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'Aspremont, Georges Natsoulis
Convex optimization techniques for fitting sparse Gaussian graphical models. ICML (2006)
Arnab Nilim, Laurent El Ghaoui
Robust Control of Markov Decision Processes with Uncertain Transition Matrices. Oper. Res. 53 (5) (2005)
Onureena Banerjee, Alexandre d'Aspremont, Laurent El Ghaoui
Sparse Covariance Selection via Robust Maximum Likelihood Estimation CoRR (2005)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A direct formulation for sparse PCA using semidefinite programming CoRR (2004)
Alessandro Abate, Laurent El Ghaoui
Robust model predictive control through adjustable variables: an application to path planning. CDC (2004)
Arnab Nilim, Laurent El Ghaoui
Algorithms for air traffic flow management under stochastic environments. ACC (2004)
Arnab Nilim, Laurent El Ghaoui, Vu Duong
Algorithms for Multi-Aircraft Re-Routing Under Uncertainties. RIVF (2004)
Giuseppe Carlo Calafiore, Laurent El Ghaoui
Ellipsoidal bounds for uncertain linear equations and dynamical systems. Autom. 40 (5) (2004)
Chiranjib Bhattacharyya, L. R. Grate, Michael I. Jordan, Laurent El Ghaoui, I. Saira Mian
Robust Sparse Hyperplane Classifiers: Application to Uncertain Molecular Profiling Data. J. Comput. Biol. 11 (6) (2004)
Alexandre d'Aspremont, Laurent El Ghaoui, Michael I. Jordan, Gert R. G. Lanckriet
A Direct Formulation for Sparse PCA Using Semidefinite Programming. NIPS (2004)
Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
Learning the Kernel Matrix with Semidefinite Programming. J. Mach. Learn. Res. 5 (2004)
Laurent El Ghaoui, Maksim Oks, François Oustry
Worst-Case Value-At-Risk and Robust Portfolio Optimization: A Conic Programming Approach. Oper. Res. 51 (4) (2003)
Arnab Nilim, Laurent El Ghaoui
Robustness in Markov Decision Problems with Uncertain Transition Matrices. NIPS (2003)
Gert R. G. Lanckriet, Laurent El Ghaoui, Michael I. Jordan
Robust Novelty Detection with Single-Class MPM. NIPS (2002)
Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan
Learning the Kernel Matrix with Semi-Definite Programming. ICML (2002)
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib Bhattacharyya, Michael I. Jordan
A Robust Minimax Approach to Classification. J. Mach. Learn. Res. 3 (2002)
Lance Doherty, Kristofer S. J. Pister, Laurent El Ghaoui
Convex Optimization Methods for Sensor Node Position Estimation. INFOCOM (2001)

Laurent El Ghaoui.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Laurent El Ghaoui