World's Best Scientists 2026 revealed!
Laurent El Ghaoui

Laurent El Ghaoui

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
29560
World Ranking
2417
National Ranking
4

Overview

Laurent El Ghaoui is affiliated with VinUniversity in Vietnam and has contributed extensively to the fields of Computer Science and Engineering. Their academic work spans subfields such as Artificial Intelligence, Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

The scientist's recent research papers reflect a focus on machine learning, control theory, and mathematical approaches to data science. Key publications include:

  • Implicit Deep Learning, 2021, SIAM Journal on Mathematics of Data Science
  • Implicit Graph Neural Networks, 2020, arXiv (Cornell University)
  • Data-Driven Reachability Analysis with Christoffel Functions, 2021, 2021 60th IEEE Conference on Decision and Control (CDC)
  • Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization, 2020, arXiv (Cornell University)

Some of the frequent co-authors associated with Laurent El Ghaoui include Armin Askari, Alicia Y. Tsai, Murat Arcak, Alexandre d'Aspremont, and Fangda Gu.

The range of publication venues where this scientist's work has appeared includes:

  • arXiv (Cornell University)
  • SIAM Journal on Mathematics of Data Science
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mathematics of Operations Research

Their research topics encompass:

  • Bayesian Modeling and Causal Inference
  • Model Reduction and Neural Networks
  • Fault Detection and Control Systems
  • Machine Learning and Algorithms
  • Probabilistic and Robust Engineering Design
  • Advanced Control Systems Optimization
  • Machine Learning and Data Classification

Laurent El Ghaoui has also contributed to academic books, including a publication through the Centre National de la Recherche Scientifique titled "L'italien pour tous - Nouvelle édition: Bescherelle" released in 2022.

Best Publications

  • Learning the Kernel Matrix with Semidefinite Programming

    Gert R. G. Lanckriet;Nello Cristianini;Peter Bartlett;Laurent El Ghaoui

  • Convex position estimation in wireless sensor networks

    L. Doherty;K.S.J. pister;L. El Ghaoui

  • A cone complementarity linearization algorithm for static output-feedback and related problems

    Unknown

  • Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data

    Onureena Banerjee;Laurent El Ghaoui;Alexandre d'Aspremont

  • Robust Solutions to Least-Squares Problems with Uncertain Data

    Laurent El Ghaoui;Hervé Lebret

  • Robust Solutions to Uncertain Semidefinite Programs

    Laurent El Ghaoui;Francois Oustry;Hervé Lebret

  • Theoretically Principled Trade-off between Robustness and Accuracy

    Hongyang Zhang;Yaodong Yu;Jiantao Jiao;Eric P. Xing

  • A Direct Formulation for Sparse PCA Using Semidefinite Programming

    Alexandre d'Aspremont;Laurent El Ghaoui;Michael I. Jordan;Gert R. G. Lanckriet

  • Robust solution to least squares problems with uncertain data

    Laurent El Ghaoui;Hervé Lebret

  • Worst-Case Value-At-Risk and Robust Portfolio Optimization: A Conic Programming Approach

    Laurent El Ghaoui;Maksim Oks;Francois Oustry

  • Robust Control of Markov Decision Processes with Uncertain Transition Matrices

    Arnab Nilim;Laurent El Ghaoui

  • On Distributionally Robust Chance-Constrained Linear Programs

    G. C. Calafiore;L. El Ghaoui

  • A robust minimax approach to classification

    Gert R.G. Lanckriet;Laurent El Ghaoui;Chiranjib Bhattacharyya;Michael I. Jordan

  • Advances in linear matrix inequality methods in control

    Laurent El Ghaoui;Silviu-Iulian Niculescu

  • History of linear matrix inequalities in control theory

    S. Boyd;V. Balakrishnan;E. Feron;L. El Ghaoui

  • First-Order Methods for Sparse Covariance Selection

    Alexandre d'Aspremont;Onureena Banerjee;Laurent El Ghaoui

  • Optimal Solutions for Sparse Principal Component Analysis

    Alexandre d'Aspremont;Francis Bach;Laurent El Ghaoui

  • Method of Centers for Minimizing Generalized Eigenvalues

    Stephen Boyd;Laurent El Ghaoui

  • Robust filtering for discrete-time systems with bounded noise and parametric uncertainty

    L. El Ghaoui;G. Calafiore

  • Control of rational systems using linear-fractional representations and linear matrix inequalities☆

    Laurent El Ghaoui;Gérard Scorletti

  • Learning the Kernel Matrix with Semi-Definite Programming

    Gert R. G. Lanckriet;Nello Christianini;Peter L. Bartlett;Laurent El Ghaoui

  • Full regularization path for sparse principal component analysis

    Alexandre d'Aspremont;Francis R. Bach;Laurent El Ghaoui

Frequent Co-Authors

Aharon Ben-Tal
Aharon Ben-Tal Technion – Israel Institute of Technology
Arkadi Nemirovski
Arkadi Nemirovski Georgia Institute of Technology
Giuseppe Carlo Calafiore
Giuseppe Carlo Calafiore Polytechnic University of Turin
Gert R. G. Lanckriet
Gert R. G. Lanckriet University of California, San Diego
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Stephen Boyd
Stephen Boyd Stanford University
Venkataramanan Balakrishnan
Venkataramanan Balakrishnan Purdue University West Lafayette
Eric Feron
Eric Feron King Abdullah University of Science and Technology
Francis Bach
Francis Bach École Normale Supérieure
Bin Yu
Bin Yu University of California, Berkeley

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