← Authors

Olivier Fercoq

18 papers · 2015–2023 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (57) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter

Conferences

ICML (8) NIPS (5) ICLR (2) ACML (1) AISTATS (1) JMLR (1)

Top co-authors

Volkan Cevher (8) Joseph Salmon (6) Alexandre Gramfort (5) Eugene Ndiaye (4) Alp Yurtsever (3) Ahmet Alacaoglu (3) Francesco Locatello (2) Puya Latafat (2) Maxime Sangnier (2) Thomas Pethick (2)

Keywords

coordinate descent (8) convex optimization (4) multi-task learning (3) screening rule (3) duality gap (3) feature selection (2) semidefinite programming (2) homotopy method (2) generalized linear model (2) empirical risk minimization (2) convex minimization (2) stochastic optimization (2) sparse optimization (2) conditional gradient (2) sparse regression (1) reproducing kernel hilbert space (1) logistic regression (1) l1 regularization (1) support vector regression (1) stochastic gradient (1)

Papers

Solving stochastic weak Minty variational inequalities without increasing batch size ICLR 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022
Random extrapolation for primal-dual coordinate descent ICML 2020
Improved Optimistic Algorithms for Logistic Bandits ICML 2020
Safe Grid Search with Optimal Complexity ICML 2019
Almost surely constrained convex optimization ICML 2019
Stochastic Frank-Wolfe for Composite Convex Minimization NIPS 2019
A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming ICML 2018
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression AISTATS 2018
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization NIPS 2017
Data sparse nonparametric regression with $Ξ΅$-insensitive losses ACML 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties JMLR 2017
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization ICML 2016
GAP Safe Screening Rules for Sparse-Group Lasso NIPS 2016
Joint quantile regression in vector-valued RKHSs NIPS 2016
Mind the duality gap: safer rules for the Lasso ICML 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015