Fercoq, Olivier

18 publications

ICLR 2023 Solving Stochastic Weak Minty Variational Inequalities Without Increasing Batch Size Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

ICLR 2022 Escaping Limit Cycles: Global Convergence for Constrained Nonconvex-Nonconcave Minimax Problems Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

ICML 2020 Improved Optimistic Algorithms for Logistic Bandits Louis Faury, Marc Abeille, Clement Calauzenes, Olivier Fercoq

ICML 2020 Random Extrapolation for Primal-Dual Coordinate Descent Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

ICML 2019 A Conditional-Gradient-Based Augmented Lagrangian Framework Alp Yurtsever, Olivier Fercoq, Volkan Cevher

ICML 2019 Almost Surely Constrained Convex Optimization Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher

ICML 2019 Safe Grid Search with Optimal Complexity Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

NeurIPS 2019 Stochastic Frank-Wolfe for Composite Convex Minimization Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

ICML 2018 A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher

AISTATS 2018 Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

ACML 2017 Data Sparse Nonparametric Regression with $ε$-Insensitive Losses Maxime Sangnier, Olivier Fercoq, Florence d’Alché-Buc

JMLR 2017 Gap Safe Screening Rules for Sparsity Enforcing Penalties Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

NeurIPS 2017 Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization Ahmet Alacaoglu, Quoc Tran Dinh, Olivier Fercoq, Volkan Cevher

NeurIPS 2016 GAP Safe Screening Rules for Sparse-Group Lasso Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

NeurIPS 2016 Joint Quantile Regression in Vector-Valued RKHSs Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc

ICML 2016 SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization Zheng Qu, Peter Richtarik, Martin Takac, Olivier Fercoq

NeurIPS 2015 GAP Safe Screening Rules for Sparse Multi-Task and Multi-Class Models Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

ICML 2015 Mind the Duality Gap: Safer Rules for the Lasso Olivier Fercoq, Alexandre Gramfort, Joseph Salmon