Franck Iutzeler
Orcid: 0000-0003-2537-380X
According to our database1,
Franck Iutzeler
authored at least 49 papers
between 2011 and 2024.
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Bibliography
2024
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness.
SIAM J. Optim., 2024
CoRR, 2024
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
SIAM J. Optim., September, 2023
Math. Program., 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism.
J. Mach. Learn. Res., 2022
On the rate of convergence of Bregman proximal methods in constrained variational inequalities.
CoRR, 2022
Entropy-regularized Wasserstein distributionally robust shape and topology optimization.
CoRR, 2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract).
CoRR, 2022
2021
SIAM J. Math. Data Sci., 2021
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation.
J. Artif. Intell. Res., 2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities.
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Harnessing the Structure of some Optimization Problems. (Autour de l'utilisation de la structure dans certains problèmes d'optimisation).
, 2021
2020
SIAM J. Optim., 2020
Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy.
CoRR, 2020
On the interplay between acceleration and identification for the proximal gradient algorithm.
Comput. Optim. Appl., 2020
Ann. Oper. Res., 2020
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2019
A generic online acceleration scheme for optimization algorithms via relaxation and inertia.
Optim. Methods Softw., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
IEEE Signal Process. Lett., 2018
J. Optim. Theory Appl., 2018
Int. J. Data Sci. Anal., 2018
CoRR, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
IEEE Trans. Signal Inf. Process. over Networks, 2016
Explicit Convergence Rate of a Distributed Alternating Direction Method of Multipliers.
IEEE Trans. Autom. Control., 2016
A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization.
IEEE Trans. Autom. Control., 2016
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
2014
A Stochastic Coordinate Descent Primal-Dual Algorithm and Applications to Large-Scale Composite Optimization.
CoRR, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
A stochastic primal-dual algorithm for distributed asynchronous composite optimization.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014
Linear convergence rate for distributed optimization with the alternating direction method of multipliers.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Distributed Estimation and Optimization for Asynchronous Networks. (Estimation et Optimisation Distribuée pour les Réseaux Asynchrones).
PhD thesis, 2013
IEEE Trans. Signal Process., 2013
Proceedings of the 21st European Signal Processing Conference, 2013
Asynchronous distributed optimization using a randomized alternating direction method of multipliers.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
IEEE Trans. Signal Process., 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011