Olivier Fercoq

67 papers A* 11A 1C 1Journal 42Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting Subgradient Sparsity in Max-Plus Neural Networks. CoRR Ikhlas Enaieh, Olivier Fercoq
2025	J	`jnl`	Désentrelacement Fréquentiel Doux pour les Codecs Audio Neuronaux. CoRR Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025	J	`jnl`	Erratum to: Linear Convergence of Dual Coordinate Descent on Nonpolyhedral Convex Problems. Math. Oper. Res. Ion Necoara, Olivier Fercoq
2025	J	`jnl`	Harmonic-Percussive Disentangled Neural Audio Codec for Bandwidth Extension. CoRR Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025	—	`conf`	Soft Disentanglement in Frequency Bands for Neural Audio Codecs. EUSIPCO Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025	J	`jnl`	Soft Disentanglement in Frequency Bands for Neural Audio Codecs. CoRR Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025	J	`jnl`	The smoothed duality gap as a stopping criterion. Math. Program. Comput. Iyad Walwil, Olivier Fercoq
2024	—	`conf`	Using Random Codebooks for Audio Neural AutoEncoders. EUSIPCO Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2023	J	`jnl`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
2023	J	`jnl`	Quadratic error bound of the smoothed gap and the restarted averaged primal-dual hybrid gradient. Open J. Math. Optim. Olivier Fercoq
2023	A*	`conf`	Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	J	`jnl`	Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2022	A*	`conf`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
2022	J	`jnl`	Linear Convergence of Random Dual Coordinate Descent on Nonpolyhedral Convex Problems. Math. Oper. Res. Ion Necoara, Olivier Fercoq
2022	J	`jnl`	On the Convergence of Stochastic Primal-Dual Hybrid Gradient. SIAM J. Optim. Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2022	J	`jnl`	Power-aware feature selection for optimized Analog-to-Feature converter. Microelectron. J. Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
2021	J	`jnl`	A generic coordinate descent solver for non-smooth convex optimisation. Optim. Methods Softw. Olivier Fercoq
2021	J	`jnl`	Scalable Semidefinite Programming. SIAM J. Math. Data Sci. Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2020	J	`jnl`	An adaptive primal-dual framework for nonsmooth convex minimization. Math. Program. Comput. Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	—	`conf`	Feature selection algorithms for flexible analog-to-feature converter. NEWCAS Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
2020	A*	`conf`	Improved Optimistic Algorithms for Logistic Bandits. ICML Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	J	`jnl`	Improved Optimistic Algorithms for Logistic Bandits. CoRR Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	A*	`conf`	Random extrapolation for primal-dual coordinate descent. ICML Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	J	`jnl`	Random extrapolation for primal-dual coordinate descent. CoRR Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020	J	`jnl`	Restarting the accelerated coordinate descent method with a rough strong convexity estimate. Comput. Optim. Appl. Olivier Fercoq, Zheng Qu
2020	J	`jnl`	Screening Rules and its Complexity for Active Set Identification. CoRR Eugène Ndiaye, Olivier Fercoq, Joseph Salmon
2019	A*	`conf`	A Conditional-Gradient-Based Augmented Lagrangian Framework. ICML Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	J	`jnl`	A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions. SIAM J. Optim. Olivier Fercoq, Pascal Bianchi
2019	A*	`conf`	Almost surely constrained convex optimization. ICML Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher
2019	—	`conf`	Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. GECCO (Companion) Louis Faury, Clément Calauzènes, Olivier Fercoq
2019	J	`jnl`	Improving Evolutionary Strategies with Generative Neural Networks. CoRR Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene
2019	A*	`conf`	Safe Grid Search with Optimal Complexity. ICML Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2019	J	`jnl`	Stochastic Conditional Gradient Method for Composite Convex Minimization. CoRR Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019	A*	`conf`	Stochastic Frank-Wolfe for Composite Convex Minimization. NeurIPS Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2018	A*	`conf`	A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming. ICML Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
2018	J	`jnl`	A Smooth Primal-Dual Optimization Framework for Nonsmooth Composite Convex Minimization. SIAM J. Optim. Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2018	A	`conf`	Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression. AISTATS Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2018	J	`jnl`	Neural Generative Models for Global Optimization with Gradients. CoRR Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq
2018	J	`jnl`	Safe Grid Search with Optimal Complexity. CoRR Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2017	C	`conf`	Data sparse nonparametric regression with ε-insensitive losses. ACML Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
2017	J	`jnl`	Gap Safe Screening Rules for Sparsity Enforcing Penalties. J. Mach. Learn. Res. Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2017	—	`conf`	Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization. NIPS Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2016	J	`jnl`	Efficient Smoothed Concomitant Lasso Estimation for High Dimensional Regression. CoRR Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
2016	—	`conf`	GAP Safe Screening Rules for Sparse-Group Lasso. NIPS Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016	J	`jnl`	GAP Safe Screening Rules for Sparse-Group-Lasso. CoRR Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016	J	`jnl`	Gap Safe screening rules for sparsity enforcing penalties. CoRR Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016	—	`conf`	Joint quantile regression in vector-valued RKHSs. NIPS Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
2016	J	`jnl`	Optimization in High Dimensions via Accelerated, Parallel, and Proximal Coordinate Descent. SIAM Rev. Olivier Fercoq, Peter Richtárik
2016	A*	`conf`	SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. ICML Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2016	—	`conf`	Using big steps in coordinate descent primal-dual algorithms. CDC Pascal Bianchi, Olivier Fercoq
2015	J	`jnl`	Accelerated, Parallel, and Proximal Coordinate Descent. SIAM J. Optim. Olivier Fercoq, Peter Richtárik
2015	—	`conf`	GAP Safe screening rules for sparse multi-task and multi-class models. NIPS Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015	J	`jnl`	GAP Safe screening rules for sparse multi-task and multi-class models. CoRR Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015	A*	`conf`	Mind the duality gap: safer rules for the Lasso. ICML Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015	J	`jnl`	Mind the duality gap: safer rules for the Lasso. CoRR Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015	J	`jnl`	SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization. CoRR Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2014	J	`jnl`	Fast Distributed Coordinate Descent for Non-Strongly Convex Losses. CoRR Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014	—	`conf`	Fast distributed coordinate descent for non-strongly convex losses. MLSP Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014	J	`jnl`	Synchronisation and control of proliferation in cycling cell population models with age structure. Math. Comput. Simul. Frédérique Billy, Jean Clairambault, Olivier Fercoq, Stéphane Gaubert, Thomas Lepoutre, Thomas Ouillon, Shoko Saito
2013	J	`jnl`	Accelerated, Parallel and Proximal Coordinate Descent. CoRR Olivier Fercoq, Peter Richtárik
2013	J	`jnl`	Ergodic Control and Polyhedral Approaches to PageRank Optimization. IEEE Trans. Autom. Control. Olivier Fercoq, Marianne Akian, Mustapha Bouhtou, Stephane Gaubert
2013	—	`conf`	Parallel Coordinate Descent for the Adaboost Problem. ICMLA (1) Olivier Fercoq
2013	J	`jnl`	Parallel coordinate descent for the Adaboost problem. CoRR Olivier Fercoq
2013	J	`jnl`	Smooth minimization of nonsmooth functions with parallel coordinate descent methods. CoRR Olivier Fercoq, Peter Richtárik
2012	J	`jnl`	PageRank optimization applied to spam detection CoRR Olivier Fercoq
2012	—	`conf`	PageRank optimization applied to spam detection. NetGCooP Olivier Fercoq
2010	J	`jnl`	Ergodic Control and Polyhedral approaches to PageRank Optimization CoRR Olivier Fercoq, Marianne Akian, Mustapha Bouhtou, Stéphane Gaubert