Olivier Fercoq

According to our database, Olivier Fercoq authored at least 44 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient.

Olivier Fercoq

Open J. Math. Optim., January, 2023

Solving stochastic weak Minty variational inequalities without increasing batch size.

Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Linear Convergence of Random Dual Coordinate Descent on Nonpolyhedral Convex Problems.

Ion Necoara, Olivier Fercoq

Math. Oper. Res., November, 2022

On the Convergence of Stochastic Primal-Dual Hybrid Gradient.

Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

SIAM J. Optim., 2022

Power-aware feature selection for optimized Analog-to-Feature converter.

Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys

Microelectron. J., 2022

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.

Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Scalable Semidefinite Programming.

Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher

SIAM J. Math. Data Sci., 2021

A generic coordinate descent solver for non-smooth convex optimisation.

Olivier Fercoq

Optim. Methods Softw., 2021

2020

An adaptive primal-dual framework for nonsmooth convex minimization.

Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

Math. Program. Comput., 2020

Screening Rules and its Complexity for Active Set Identification.

Eugène Ndiaye, Olivier Fercoq, Joseph Salmon

CoRR, 2020

Restarting the accelerated coordinate descent method with a rough strong convexity estimate.

Olivier Fercoq, Zheng Qu

Comput. Optim. Appl., 2020

Feature selection algorithms for flexible analog-to-feature converter.

Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys

Proceedings of the 18th IEEE International New Circuits and Systems Conference, 2020

Improved Optimistic Algorithms for Logistic Bandits.

Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq

Proceedings of the 37th International Conference on Machine Learning, 2020

Random extrapolation for primal-dual coordinate descent.

Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions.

Olivier Fercoq, Pascal Bianchi

SIAM J. Optim., 2019

Improving Evolutionary Strategies with Generative Neural Networks.

Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene

CoRR, 2019

Stochastic Conditional Gradient Method for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

CoRR, 2019

Stochastic Frank-Wolfe for Composite Convex Minimization.

Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Conditional-Gradient-Based Augmented Lagrangian Framework.

Alp Yurtsever, Olivier Fercoq, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Safe Grid Search with Optimal Complexity.

Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

Proceedings of the 36th International Conference on Machine Learning, 2019

Almost surely constrained convex optimization.

Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher

Proceedings of the 36th International Conference on Machine Learning, 2019

Benchmarking GNN-CMA-ES on the BBOB noiseless testbed.

Louis Faury, Clément Calauzènes, Olivier Fercoq

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization.

Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher

SIAM J. Optim., 2018

Neural Generative Models for Global Optimization with Gradients.

Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq

CoRR, 2018

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.

Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher

Proceedings of the 35th International Conference on Machine Learning, 2018

Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression.

Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Gap Safe Screening Rules for Sparsity Enforcing Penalties.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

J. Mach. Learn. Res., 2017

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization.

Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Data sparse nonparametric regression with ε-insensitive losses.

Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Optimization in High Dimensions via Accelerated, Parallel, and Proximal Coordinate Descent.

Olivier Fercoq, Peter Richtárik

SIAM Rev., 2016

Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon

CoRR, 2016

Joint quantile regression in vector-valued RKHSs.

Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

GAP Safe Screening Rules for Sparse-Group Lasso.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization.

Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq

Proceedings of the 33nd International Conference on Machine Learning, 2016

Using big steps in coordinate descent primal-dual algorithms.

Pascal Bianchi, Olivier Fercoq

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Accelerated, Parallel, and Proximal Coordinate Descent.

Olivier Fercoq, Peter Richtárik

SIAM J. Optim., 2015

GAP Safe screening rules for sparse multi-task and multi-class models.

Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Mind the duality gap: safer rules for the Lasso.

Olivier Fercoq, Alexandre Gramfort, Joseph Salmon

Proceedings of the 32nd International Conference on Machine Learning, 2015

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

Fast distributed coordinate descent for non-strongly convex losses.

Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Ergodic Control and Polyhedral Approaches to PageRank Optimization.

Olivier Fercoq, Marianne Akian, Mustapha Bouhtou, Stephane Gaubert

IEEE Trans. Autom. Control., 2013

Smooth minimization of nonsmooth functions with parallel coordinate descent methods.

Olivier Fercoq, Peter Richtárik

CoRR, 2013

Parallel Coordinate Descent for the Adaboost Problem.

Olivier Fercoq

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

PageRank optimization applied to spam detection.

Olivier Fercoq

Proceedings of the 6th International Conference on Network Games, 2012