Franck Iutzeler

68 papers A* 9A 1Misc 1Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	skwdro: a library for Wasserstein distributionally robust machine learning. J. Mach. Learn. Res. Florian Vincent, Waïss Azizian, Franck Iutzeler, Jérôme Malick
2025	J	`jnl`	Delay-tolerant distributed Bregman proximal algorithms. Optim. Methods Softw. S. Chraibi, Franck Iutzeler, Jérôme Malick, A. Rogozin
2025	A*	`conf`	On the Private Estimation of Smooth Transport Maps. ICML Clément Lalanne, Franck Iutzeler, Jean-Michel Loubes, Julien Chhor
2025	J	`jnl`	Risk-controlling Prediction with Distributionally Robust Optimization. Trans. Mach. Learn. Res. Franck Iutzeler, Adrien Mazoyer
2025	A*	`conf`	The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations. ICML Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2025	J	`jnl`	The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	A*	`conf`	Derivatives of Stochastic Gradient Descent in parametric optimization. NeurIPS Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
2024	J	`jnl`	Derivatives of Stochastic Gradient Descent. CoRR Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
2024	J	`jnl`	The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM J. Optim. Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	A*	`conf`	What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. ICML Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	J	`jnl`	What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2023	A*	`conf`	Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS Waïss Azizian, Franck Iutzeler, Jérôme Malick
2023	J	`jnl`	Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick
2023	J	`jnl`	Harnessing Structure in Composite Nonsmooth Minimization. SIAM J. Optim. Gilles Bareilles, Franck Iutzeler, Jérôme Malick
2023	J	`jnl`	Newton acceleration on manifolds identified by proximal gradient methods. Math. Program. Gilles Bareilles, Franck Iutzeler, Jérôme Malick
2023	J	`jnl`	Push-Pull With Device Sampling. IEEE Trans. Autom. Control. Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
2022	J	`jnl`	Entropy-regularized Wasserstein distributionally robust shape and topology optimization. CoRR Charles Dapogny, Franck Iutzeler, Andrea Meda, Boris Thibert
2022	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2022	J	`jnl`	Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2022	J	`jnl`	On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2022	J	`jnl`	Push-Pull with Device Sampling. CoRR Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
2021	J	`jnl`	Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2021	—	`book`	Harnessing the Structure of some Optimization Problems. (Autour de l'utilisation de la structure dans certains problèmes d'optimisation). Franck Iutzeler
2021	J	`jnl`	Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
2021	—	`conf`	Optimization in Open Networks via Dual Averaging. CDC Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021	J	`jnl`	Optimization in Open Networks via Dual Averaging. CoRR Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021	J	`jnl`	Proximal Gradient Methods with Adaptive Subspace Sampling. Math. Oper. Res. Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
2021	A*	`conf`	The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021	J	`jnl`	The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020	J	`jnl`	A Distributed Flexible Delay-Tolerant Proximal Gradient Algorithm. SIAM J. Optim. Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick
2020	J	`jnl`	Asynchronous level bundle methods. Math. Program. Franck Iutzeler, Jérôme Malick, Welington de Oliveira
2020	A*	`conf`	Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020	J	`jnl`	Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020	J	`jnl`	Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020	J	`jnl`	On the interplay between acceleration and identification for the proximal gradient algorithm. Comput. Optim. Appl. Gilles Bareilles, Franck Iutzeler
2020	J	`jnl`	Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. CoRR Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
2020	J	`jnl`	Randomized Progressive Hedging methods for multi-stage stochastic programming. Ann. Oper. Res. Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
2020	J	`jnl`	Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR Charlotte Laclau, Franck Iutzeler, Ievgen Redko
2020	—	`conf`	Sparse Asynchronous Distributed Learning. ICONIP (5) Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini
2019	J	`jnl`	A generic online acceleration scheme for optimization algorithms via relaxation and inertia. Optim. Methods Softw. Franck Iutzeler, Julien M. Hendrickx
2019	A*	`conf`	On the convergence of single-call stochastic extra-gradient methods. NeurIPS Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2019	J	`jnl`	On the convergence of single-call stochastic extra-gradient methods. CoRR Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2018	A*	`conf`	A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. ICML Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2018	J	`jnl`	Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
2018	J	`jnl`	Distributed Projection on the Simplex and ℓ IEEE Signal Process. Lett. Franck Iutzeler, Laurent Condat
2018	J	`jnl`	Large-scale asynchronous distributed learning based on parameter exchanges. Int. J. Data Sci. Anal. Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
2018	J	`jnl`	On the Proximal Gradient Algorithm with Alternated Inertia. J. Optim. Theory Appl. Franck Iutzeler, Jérôme Malick
2017	—	`conf`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
2017	J	`jnl`	Distributed Computation of Quantiles via ADMM. IEEE Signal Process. Lett. Franck Iutzeler
2016	J	`jnl`	A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization. IEEE Trans. Autom. Control. Pascal Bianchi, Walid Hachem, Franck Iutzeler
2016	A	`conf`	Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. RecSys Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
2016	J	`jnl`	Distributed Production-Sharing Optimization and Application to Power Grid Networks. IEEE Trans. Signal Inf. Process. over Networks Azary Abboud, Franck Iutzeler, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane
2016	J	`jnl`	Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. IEEE Trans. Autom. Control. Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
2014	J	`jnl`	A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization. CoRR Pascal Bianchi, Walid Hachem, Franck Iutzeler
2014	—	`conf`	A stochastic coordinate descent primal-dual algorithm and applications. MLSP Pascal Bianchi, Walid Hachem, Franck Iutzeler
2014	—	`conf`	A stochastic primal-dual algorithm for distributed asynchronous composite optimization. GlobalSIP Pascal Bianchi, Walid Hachem, Franck Iutzeler
2014	—	`conf`	Linear convergence rate for distributed optimization with the alternating direction method of multipliers. CDC Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
2013	J	`jnl`	Analysis of Sum-Weight-Like Algorithms for Averaging in Wireless Sensor Networks. IEEE Trans. Signal Process. Franck Iutzeler, Philippe Ciblat, Walid Hachem
2013	J	`jnl`	Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers CoRR Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
2013	—	`conf`	Asynchronous distributed optimization using a randomized alternating direction method of multipliers. CDC Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
2013	—	`—`	Distributed Estimation and Optimization for Asynchronous Networks. (Estimation et Optimisation Distribuée pour les Réseaux Asynchrones). Franck Iutzeler
2013	J	`jnl`	Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. CoRR Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
2013	—	`conf`	Fully distributed signal detection: Application to cognitive radio. EUSIPCO Franck Iutzeler, Philippe Ciblat
2012	J	`jnl`	Analysis of Max-Consensus Algorithms in Wireless Channels. IEEE Trans. Signal Process. Franck Iutzeler, Philippe Ciblat, Jérémie Jakubowicz
2012	J	`jnl`	Analysis of Sum-Weight-like algorithms for averaging in Wireless Sensor Networks CoRR Franck Iutzeler, Philippe Ciblat, Walid Hachem
2012	Misc	`conf`	New broadcast based distributed averaging algorithm over wireless sensor networks. ICASSP Franck Iutzeler, Philippe Ciblat, Walid Hachem, Jérémie Jakubowicz
2011	—	`conf`	Distributed estimation of the maximum value over a Wireless Sensor Network. ACSCC Franck Iutzeler, Jérémie Jakubowicz, Walid Hachem, Philippe Ciblat