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Franck Iutzeler
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2020 – today
- 2024
- [j22]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): 2440-2471 (2024) - [c17]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. ICML 2024 - [i21]Franck Iutzeler, Edouard Pauwels, Samuel Vaiter:
Derivatives of Stochastic Gradient Descent. CoRR abs/2405.15894 (2024) - [i20]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR abs/2406.09241 (2024) - [i19]Florian Vincent, Waïss Azizian, Franck Iutzeler, Jérôme Malick:
skwdro: a library for Wasserstein distributionally robust machine learning. CoRR abs/2410.21231 (2024) - 2023
- [j21]Gilles Bareilles, Franck Iutzeler, Jérôme Malick:
Newton acceleration on manifolds identified by proximal gradient methods. Math. Program. 200(1): 37-70 (2023) - [j20]Gilles Bareilles, Franck Iutzeler, Jérôme Malick:
Harnessing Structure in Composite Nonsmooth Minimization. SIAM J. Optim. 33(3): 2222-2247 (2023) - [j19]Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick:
Push-Pull With Device Sampling. IEEE Trans. Autom. Control. 68(12): 7179-7194 (2023) - [c16]Waïss Azizian, Franck Iutzeler, Jérôme Malick:
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS 2023 - [i18]Waïss Azizian, Franck Iutzeler, Jérôme Malick:
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR abs/2305.17076 (2023) - 2022
- [j18]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. J. Mach. Learn. Res. 23: 78:1-78:49 (2022) - [i17]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 abs/2202.13240 (2022) - [i16]Yu-Guan Hsieh, Yassine Laguel, Franck Iutzeler, Jérôme Malick:
Push-Pull with Device Sampling. CoRR abs/2206.04113 (2022) - [i15]Charles Dapogny, Franck Iutzeler, Andrea Meda, Boris Thibert:
Entropy-regularized Wasserstein distributionally robust shape and topology optimization. CoRR abs/2209.01500 (2022) - [i14]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR abs/2211.08043 (2022) - 2021
- [b2]Franck Iutzeler:
Harnessing the Structure of some Optimization Problems. (Autour de l'utilisation de la structure dans certains problèmes d'optimisation). Grenoble Alpes University, France, 2021 - [j17]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: 121-142 (2021) - [j16]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Proximal Gradient Methods with Adaptive Subspace Sampling. Math. Oper. Res. 46(4): 1303-1323 (2021) - [j15]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. 3(2): 715-735 (2021) - [c15]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CDC 2021: 514-520 - [c14]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT 2021: 326-358 - [i13]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Optimization in Open Networks via Dual Averaging. CoRR abs/2105.13348 (2021) - [i12]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR abs/2107.01906 (2021) - 2020
- [j14]Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Randomized Progressive Hedging methods for multi-stage stochastic programming. Ann. Oper. Res. 295(2): 535-560 (2020) - [j13]Gilles Bareilles, Franck Iutzeler:
On the interplay between acceleration and identification for the proximal gradient algorithm. Comput. Optim. Appl. 77(2): 351-378 (2020) - [j12]Franck Iutzeler, Jérôme Malick, Welington de Oliveira:
Asynchronous level bundle methods. Math. Program. 184(1): 319-348 (2020) - [j11]Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick:
A Distributed Flexible Delay-Tolerant Proximal Gradient Algorithm. SIAM J. Optim. 30(1): 933-959 (2020) - [c13]Dmitry Grischenko, Franck Iutzeler, Massih-Reza Amini:
Sparse Asynchronous Distributed Learning. ICONIP (5) 2020: 429-438 - [c12]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. NeurIPS 2020 - [i11]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling. CoRR abs/2003.10162 (2020) - [i10]Charlotte Laclau, Franck Iutzeler, Ievgen Redko:
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy. CoRR abs/2009.00365 (2020) - [i9]Gilles Bareilles, Yassine Laguel, Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick:
Randomized Progressive Hedging methods for Multi-stage Stochastic Programming. CoRR abs/2009.12186 (2020) - [i8]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism. CoRR abs/2012.11579 (2020)
2010 – 2019
- 2019
- [j10]Franck Iutzeler, Julien M. Hendrickx:
A generic online acceleration scheme for optimization algorithms via relaxation and inertia. Optim. Methods Softw. 34(2): 383-405 (2019) - [c11]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. NeurIPS 2019: 6936-6946 - [i7]Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the convergence of single-call stochastic extra-gradient methods. CoRR abs/1908.08465 (2019) - 2018
- [j9]Bikash Joshi, Franck Iutzeler, Massih-Reza Amini:
Large-scale asynchronous distributed learning based on parameter exchanges. Int. J. Data Sci. Anal. 5(4): 223-232 (2018) - [j8]Franck Iutzeler, Jérôme Malick:
On the Proximal Gradient Algorithm with Alternated Inertia. J. Optim. Theory Appl. 176(3): 688-710 (2018) - [j7]Franck Iutzeler, Laurent Condat:
Distributed Projection on the Simplex and ℓ1 Ball via ADMM and Gossip. IEEE Signal Process. Lett. 25(11): 1650-1654 (2018) - [c10]Konstantin Mishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning. ICML 2018: 3584-3592 - [i6]Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Asynchronous Distributed Learning with Sparse Communications and Identification. CoRR abs/1812.03871 (2018) - 2017
- [j6]Franck Iutzeler:
Distributed Computation of Quantiles via ADMM. IEEE Signal Process. Lett. 24(5): 619-623 (2017) - [c9]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: 4159-4168 - [i5]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 abs/1701.06511 (2017) - 2016
- [j5]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): 892-904 (2016) - [j4]Pascal Bianchi, Walid Hachem, Franck Iutzeler:
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization. IEEE Trans. Autom. Control. 61(10): 2947-2957 (2016) - [j3]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): 16-28 (2016) - [c8]Bikash Joshi, Franck Iutzeler, Massih-Reza Amini:
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization. RecSys 2016: 75-78 - 2014
- [c7]Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem:
Linear convergence rate for distributed optimization with the alternating direction method of multipliers. CDC 2014: 5046-5051 - [c6]Pascal Bianchi, Walid Hachem, Franck Iutzeler:
A stochastic primal-dual algorithm for distributed asynchronous composite optimization. GlobalSIP 2014: 732-736 - [c5]Pascal Bianchi, Walid Hachem, Franck Iutzeler:
A stochastic coordinate descent primal-dual algorithm and applications. MLSP 2014: 1-6 - [i4]Pascal Bianchi, Walid Hachem, Franck Iutzeler:
A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization. CoRR abs/1407.0898 (2014) - 2013
- [b1]Franck Iutzeler:
Distributed Estimation and Optimization for Asynchronous Networks. (Estimation et Optimisation Distribuée pour les Réseaux Asynchrones). Télécom ParisTech, France, 2013 - [j2]Franck Iutzeler, Philippe Ciblat, Walid Hachem:
Analysis of Sum-Weight-Like Algorithms for Averaging in Wireless Sensor Networks. IEEE Trans. Signal Process. 61(11): 2802-2814 (2013) - [c4]Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem:
Asynchronous distributed optimization using a randomized alternating direction method of multipliers. CDC 2013: 3671-3676 - [c3]Franck Iutzeler, Philippe Ciblat:
Fully distributed signal detection: Application to cognitive radio. EUSIPCO 2013: 1-5 - [i3]Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem:
Asynchronous Distributed Optimization using a Randomized Alternating Direction Method of Multipliers. CoRR abs/1303.2837 (2013) - [i2]Franck Iutzeler, Pascal Bianchi, Philippe Ciblat, Walid Hachem:
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers. CoRR abs/1312.1085 (2013) - 2012
- [j1]Franck Iutzeler, Philippe Ciblat, Jérémie Jakubowicz:
Analysis of Max-Consensus Algorithms in Wireless Channels. IEEE Trans. Signal Process. 60(11): 6103-6107 (2012) - [c2]Franck Iutzeler, Philippe Ciblat, Walid Hachem, Jérémie Jakubowicz:
New broadcast based distributed averaging algorithm over wireless sensor networks. ICASSP 2012: 3117-3120 - [i1]Franck Iutzeler, Philippe Ciblat, Walid Hachem:
Analysis of Sum-Weight-like algorithms for averaging in Wireless Sensor Networks. CoRR abs/1209.5912 (2012) - 2011
- [c1]Franck Iutzeler, Jérémie Jakubowicz, Walid Hachem, Philippe Ciblat:
Distributed estimation of the maximum value over a Wireless Sensor Network. ACSCC 2011: 62-66
Coauthor Index
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last updated on 2024-12-01 01:10 CET by the dblp team
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