PageRank optimization applied to spam detection. - Olivier Fercoq (NetGCooP, 2012)

Parallel Coordinate Descent for the Adaboost Problem. - Olivier Fercoq (ICMLA (1), 2013)

Smooth minimization of nonsmooth functions with parallel coordinate descent methods. - Olivier Fercoq; Peter Richtárik (CoRR, 2013)

Ergodic Control and Polyhedral Approaches to PageRank Optimization. - Olivier Fercoq; Marianne Akian; Mustapha Bouhtou; Stephane Gaubert (IEEE Trans. Autom. Control., 2013)

Fast distributed coordinate descent for non-strongly convex losses. - Olivier Fercoq; Zheng Qu 001; Peter Richtárik; Martin Takác 001 (MLSP, 2014)

Synchronisation and control of proliferation in cycling cell population models with age structure. - Frédérique Billy; Jean Clairambault; Olivier Fercoq; Stéphane Gaubert; Thomas Lepoutre; Thomas Ouillon; Shoko Saito (Math. Comput. Simul., 2014)

Mind the duality gap: safer rules for the Lasso. - Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (ICML, 2015)

GAP Safe screening rules for sparse multi-task and multi-class models. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 2015)

Accelerated, Parallel, and Proximal Coordinate Descent. - Olivier Fercoq; Peter Richtárik (SIAM J. Optim., 2015)

Using big steps in coordinate descent primal-dual algorithms. - Pascal Bianchi; Olivier Fercoq (CDC, 2016)

SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. - Zheng Qu 001; Peter Richtárik; Martin Takác 001; Olivier Fercoq (ICML, 2016)

GAP Safe Screening Rules for Sparse-Group Lasso. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (NIPS, 2016)

Joint quantile regression in vector-valued RKHSs. - Maxime Sangnier; Olivier Fercoq; Florence d'Alché-Buc (NIPS, 2016)

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Vincent Leclère; Joseph Salmon (CoRR, 2016)

Optimization in High Dimensions via Accelerated, Parallel, and Proximal Coordinate Descent. - Olivier Fercoq; Peter Richtárik (SIAM Rev., 2016)

Data sparse nonparametric regression with ε-insensitive losses. - Maxime Sangnier; Olivier Fercoq; Florence d'Alché-Buc (ACML, 2017)

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. - Ahmet Alacaoglu; Quoc Tran-Dinh; Olivier Fercoq; Volkan Cevher (NIPS, 2017)

Gap Safe Screening Rules for Sparsity Enforcing Penalties. - Eugène Ndiaye; Olivier Fercoq; Alexandre Gramfort; Joseph Salmon (J. Mach. Learn. Res., 2017)

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

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

Neural Generative Models for Global Optimization with Gradients. - Louis Faury; Flavian Vasile; Clément Calauzènes; Olivier Fercoq (CoRR, 2018)

A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization. - Quoc Tran-Dinh; Olivier Fercoq; Volkan Cevher (SIAM J. Optim., 2018)

Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. - Louis Faury; Clément Calauzènes; Olivier Fercoq (GECCO (Companion), 2019)

Almost surely constrained convex optimization. - Olivier Fercoq; Ahmet Alacaoglu; Ion Necoara; Volkan Cevher (ICML, 2019)

Safe Grid Search with Optimal Complexity. - Eugène Ndiaye; Tam Le; Olivier Fercoq; Joseph Salmon; Ichiro Takeuchi (ICML, 2019)

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

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

Stochastic Conditional Gradient Method for Composite Convex Minimization. - Francesco Locatello; Alp Yurtsever; Olivier Fercoq; Volkan Cevher (CoRR, 2019)

Improving Evolutionary Strategies with Generative Neural Networks. - Louis Faury; Clément Calauzènes; Olivier Fercoq; Syrine Krichene (CoRR, 2019)

A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions. - Olivier Fercoq; Pascal Bianchi (SIAM J. Optim., 2019)

Random extrapolation for primal-dual coordinate descent. - Ahmet Alacaoglu; Olivier Fercoq; Volkan Cevher (ICML, 2020)

Improved Optimistic Algorithms for Logistic Bandits. - Louis Faury; Marc Abeille; Clément Calauzènes; Olivier Fercoq (ICML, 2020)

Feature selection algorithms for flexible analog-to-feature converter. - Antoine Back; Paul Chollet; Olivier Fercoq; Patricia Desgreys (NEWCAS, 2020)

Restarting the accelerated coordinate descent method with a rough strong convexity estimate. - Olivier Fercoq; Zheng Qu 001 (Comput. Optim. Appl., 2020)

Screening Rules and its Complexity for Active Set Identification. - Eugène Ndiaye; Olivier Fercoq; Joseph Salmon (CoRR, 2020)

An adaptive primal-dual framework for nonsmooth convex minimization. - Quoc Tran-Dinh; Ahmet Alacaoglu; Olivier Fercoq; Volkan Cevher (Math. Program. Comput., 2020)

A generic coordinate descent solver for non-smooth convex optimisation. - Olivier Fercoq (Optim. Methods Softw., 2021)

Scalable Semidefinite Programming. - Alp Yurtsever; Joel A. Tropp; Olivier Fercoq; Madeleine Udell; Volkan Cevher (SIAM J. Math. Data Sci., 2021)

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. - Thomas Pethick; Puya Latafat; Panos Patrinos; Olivier Fercoq; Volkan Cevher (ICLR, 2022)

Power-aware feature selection for optimized Analog-to-Feature converter. - Antoine Back; Paul Chollet; Olivier Fercoq; Patricia Desgreys (Microelectron. J., 2022)

On the Convergence of Stochastic Primal-Dual Hybrid Gradient. - Ahmet Alacaoglu; Olivier Fercoq; Volkan Cevher (SIAM J. Optim., 2022)

Linear Convergence of Random Dual Coordinate Descent on Nonpolyhedral Convex Problems. - Ion Necoara; Olivier Fercoq (Math. Oper. Res., 2022)

Solving stochastic weak Minty variational inequalities without increasing batch size. - Thomas Pethick; Olivier Fercoq; Puya Latafat; Panagiotis Patrinos; Volkan Cevher (ICLR, 2023)

Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient. - Olivier Fercoq (Open J. Math. Optim., 2023)

Using Random Codebooks for Audio Neural AutoEncoders. - Benoît Giniès; Xiaoyu Bie; Olivier Fercoq; Gaël Richard (EUSIPCO, 2024)