Laurent El Ghaoui
12 papers · 2002–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (23)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(23)
🗃️
Keyword Collector
(61)
📈
Trend Setter
💎
Century Club
(12)
⚡
Prolific Year
(5)
Conferences
AISTATS (3)
ICML (3)
JMLR (3)
AAAI (1)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
convex optimization
(2)
neural network training
(1)
eigenvalue decomposition
(1)
document summarization
(1)
text classification
(1)
policy gradient
(1)
feature selection
(1)
extractive summarization
(1)
implicit differentiation
(1)
constrained optimization
(1)
empirical risk minimization
(1)
low-rank approximation
(1)
maximum likelihood
(1)
sparse principal component analysis
(1)
binary classification
(1)
matrix optimization
(1)
mahalanobis distance
(1)
sparse optimization
(1)
adversarial robustness
(1)
unsupervised learning
(1)
Papers
Tree-Sliced Wasserstein Distance with Nonlinear Projection
ICML 2025
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems
AAAI 2022
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
AISTATS 2020
Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
EMNLP 2020
Implicit Graph Neural Networks
NIPS 2020
Naive Feature Selection: Sparsity in Naive Bayes
AISTATS 2020
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
ICML 2020
Theoretically Principled Trade-off between Robustness and Accuracy
ICML 2019
Robust sketching for multiple square-root LASSO problems
AISTATS 2015
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
JMLR 2008
Optimal Solutions for Sparse Principal Component Analysis
JMLR 2008
A Robust Minimax Approach to Classification
JMLR 2002