Franck Iutzeler

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 45

Top Venues

CoRR

SIAM J. Optim.

IEEE Trans. Autom. Control.

NeurIPS

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
Derivatives of Stochastic Gradient Descent. CoRR (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM J. Optim. 34 (3) (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR (2023)
Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
Push-Pull With Device Sampling. IEEE Trans. Autom. Control. 68 (12) (2023)
Gilles Bareilles, Franck Iutzeler, Jérôme Malick
Harnessing Structure in Composite Nonsmooth Minimization. SIAM J. Optim. 33 (3) (2023)
Gilles Bareilles, Franck Iutzeler, Jérôme Malick
Newton acceleration on manifolds identified by proximal gradient methods. Math. Program. 200 (1) (2023)
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS (2023)
Charles Dapogny, Franck Iutzeler, Andrea Meda, Boris Thibert
Entropy-regularized Wasserstein distributionally robust shape and topology optimization. CoRR (2022)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. 23 (2022)
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract). CoRR (2022)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR (2022)
Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick
Push-Pull with Device Sampling. CoRR (2022)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Optimization in Open Networks via Dual Averaging. CDC (2021)
Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, Massih-Reza Amini
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. J. Artif. Intell. Res. 71 (2021)
Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. 3 (2) (2021)
Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
Proximal Gradient Methods with Adaptive Subspace Sampling. Math. Oper. Res. 46 (4) (2021)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT (2021)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Optimization in Open Networks via Dual Averaging. CoRR (2021)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR (2021)
Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. CoRR (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR (2020)
Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini
Sparse Asynchronous Distributed Learning. ICONIP (5) (2020)
Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick
A Distributed Flexible Delay-Tolerant Proximal Gradient Algorithm. SIAM J. Optim. 30 (1) (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR (2020)
Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick
Randomized Progressive Hedging methods for multi-stage stochastic programming. Ann. Oper. Res. 295 (2) (2020)
Franck Iutzeler, Jérôme Malick, Welington de Oliveira
Asynchronous level bundle methods. Math. Program. 184 (1) (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS (2020)
Charlotte Laclau, Franck Iutzeler, Ievgen Redko
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR (2020)
Gilles Bareilles, Franck Iutzeler
On the interplay between acceleration and identification for the proximal gradient algorithm. Comput. Optim. Appl. 77 (2) (2020)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the convergence of single-call stochastic extra-gradient methods. NeurIPS (2019)
Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the convergence of single-call stochastic extra-gradient methods. CoRR (2019)
Franck Iutzeler, Julien M. Hendrickx
A generic online acceleration scheme for optimization algorithms via relaxation and inertia. Optim. Methods Softw. 34 (2) (2019)
Franck Iutzeler, Jérôme Malick
On the Proximal Gradient Algorithm with Alternated Inertia. J. Optim. Theory Appl. 176 (3) (2018)
Franck Iutzeler, Laurent Condat
Ball via ADMM and Gossip. IEEE Signal Process. Lett. 25 (11) (2018)
Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR (2018)
Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. ICML (2018)
Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
Large-scale asynchronous distributed learning based on parameter exchanges. Int. J. Data Sci. Anal. 5 (4) (2018)
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. CoRR (2017)
Franck Iutzeler
Distributed Computation of Quantiles via ADMM. IEEE Signal Process. Lett. 24 (5) (2017)
Bikash Joshi, Massih-Reza Amini, Ioannis Partalas, Franck Iutzeler, Yury Maximov
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification. NIPS (2017)
Azary Abboud, Franck Iutzeler, Romain Couillet, Mérouane Debbah, Houria Siguerdidjane
Distributed Production-Sharing Optimization and Application to Power Grid Networks. IEEE Trans. Signal Inf. Process. over Networks 2 (1) (2016)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization. IEEE Trans. Autom. Control. 61 (10) (2016)
Bikash Joshi, Franck Iutzeler, Massih-Reza Amini
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. RecSys (2016)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. IEEE Trans. Autom. Control. 61 (4) (2016)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A stochastic coordinate descent primal-dual algorithm and applications. MLSP (2014)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A stochastic primal-dual algorithm for distributed asynchronous composite optimization. GlobalSIP (2014)
Pascal Bianchi, Walid Hachem, Franck Iutzeler
A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization. CoRR (2014)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Linear convergence rate for distributed optimization with the alternating direction method of multipliers. CDC (2014)
Franck Iutzeler, Philippe Ciblat
Fully distributed signal detection: Application to cognitive radio. EUSIPCO (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers CoRR (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. CoRR (2013)
Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem
Asynchronous distributed optimization using a randomized alternating direction method of multipliers. CDC (2013)
Franck Iutzeler, Philippe Ciblat, Walid Hachem
Analysis of Sum-Weight-Like Algorithms for Averaging in Wireless Sensor Networks. IEEE Trans. Signal Process. 61 (11) (2013)
Franck Iutzeler, Philippe Ciblat, Jérémie Jakubowicz
Analysis of Max-Consensus Algorithms in Wireless Channels. IEEE Trans. Signal Process. 60 (11) (2012)
Franck Iutzeler, Philippe Ciblat, Walid Hachem, Jérémie Jakubowicz
New broadcast based distributed averaging algorithm over wireless sensor networks. ICASSP (2012)
Franck Iutzeler, Philippe Ciblat, Walid Hachem
Analysis of Sum-Weight-like algorithms for averaging in Wireless Sensor Networks CoRR (2012)
Franck Iutzeler, Jérémie Jakubowicz, Walid Hachem, Philippe Ciblat
Distributed estimation of the maximum value over a Wireless Sensor Network. ACSCC (2011)

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Publication Activity (10 Years)

Top Topics

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Franck Iutzeler