| 2023 | ICLR | Solving stochastic weak Minty variational inequalities without increasing batch size. | Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher |
| 2022 | ICLR | Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. | Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher |
| 2020 | ICML | Random extrapolation for primal-dual coordinate descent. | Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher |
| 2020 | ICML | Improved Optimistic Algorithms for Logistic Bandits. | Louis Faury, Marc Abeille, Clment Calauznes, Olivier Fercoq |
| 2019 | GECCO | Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. | Louis Faury, Clment Calauznes, Olivier Fercoq |
| 2019 | ICML | Almost surely constrained convex optimization. | Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher |
| 2019 | ICML | Safe Grid Search with Optimal Complexity. | Eugne Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi |
| 2019 | ICML | A Conditional-Gradient-Based Augmented Lagrangian Framework. | Alp Yurtsever, Olivier Fercoq, Volkan Cevher |
| 2018 | AISTATS | Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. | Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2018 | ICML | A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. | Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher |
| 2017 | ACML | Data sparse nonparametric regression with ε-insensitive losses. | Maxime Sangnier, Olivier Fercoq, Florence d'Alch-Buc |
| 2016 | ICML | SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. | Zheng Qu, Peter Richtrik, Martin Takc, Olivier Fercoq |
| 2015 | ICML | Mind the duality gap: safer rules for the Lasso. | Olivier Fercoq, Alexandre Gramfort, Joseph Salmon |
| 2013 | ICMLA | Parallel Coordinate Descent for the Adaboost Problem. | Olivier Fercoq |