Talks
Invited talks, seminars and conference presentations. Slides are linked when available.
2026
- Around distributional robustness and generalization in machine learning, Journée du département SI de l'IRIT, Toulouse (France)
- A study of the long-run behavior of Stochastic Gradient Descent via large deviations, MAD-Stat seminar, Toulouse School of Economics, Toulouse (France)
2025
- What is the long-run distribution of SGD?, JS2O, Perpignan (France)
- What is the long-run distribution of SGD?, Colloquium de Mathématiques, Avignon (France)
- What is the long-run distribution of SGD?, Séminaire Mathématiques de l'IA, Bordeaux (France)
2024
- What is the long-run distribution of SGD?, Workshop “Beyond classical regimes in statistical learning”, Toulouse (France)
- Distributionally Robust Optimization and Statistical learning, Journées Contrôle et Optimisation, Pau (France)
- Distributionally Robust Optimization and Statistical learning, ENAC, Toulouse (France)
2023
- Distributionally Robust Optimization and Statistical learning, MAD-Stat seminar, Toulouse School of Economics, Toulouse (France) Slides
- Distributionally Robust Optimization and Statistical learning, SPOT seminar, Toulouse (France)
- On Wasserstein Distributionally Robust Optimization, Séminaire Probabilités et Statistique, Nice (France)
- On Wasserstein Distributionally Robust Optimization, Séminaire Optimisation et Statistique, Toulouse (France)
2022
- Identification et exploitation de structure en apprentissage régularisé, Journées SMAI-MODE, Limoges (France)
- Identifying & Using Structure in Machine Learning, Rencontres Statistiques Lyonnaises, Lyon (France)
- Identifying & Using Structure in Machine Learning, Inria Maasai seminar, Nice (France)
2021
- Harnessing Structure in Composite Optimization problems, IFIP TC7 Conference on System Modeling and Optimization, Quito (Ecuador) (online) Slides
- Harnessing Structure in Regularized Empirical Risk Minimization, Conférence sur l'Apprentissage automatique (CAp) (online) Slides
2020
- Nonsmooth regularizations in Machine Learning: structure of the solutions, identification, and applications, IMAG seminar, Montpellier (France) (online) Slides
- A Randomized Proximal Gradient Method with Structure-Adapted Sampling, Journées SMAI-MODE (online) Slides
- Harnessing Structure in Optimization for Machine Learning, Optimization for Machine Learning, CIRM, Marseille (France) Slides
2018
- Distributed Learning with Sparse Communications and Structure Identification, Inria Magnet seminar, Lille (France)
- Distributed Learning with Sparse Communications and Structure Identification, International Symposium on Mathematical Programming (ISMP), Bordeaux (France)
- Distributed Learning with Sparse Communications and Structure Identification, Polaris and D.A.T.A. seminars, Grenoble (France)
- Distributed Learning with Sparse Communications and Structure Identification, Journées de Statistique, Saclay (France)
2017
- Monotonicity, Acceleration, Inertia, and the proximal gradient algorithm, Optimization and Statistical Learning workshop, Les Houches (France) Slides
2016
- Modified fixed points iterations and applications to randomized and accelerated optimization algorithms, Workshop Cavalieri, Paris (France)
- Practical acceleration for some optimization methods using relaxation and inertia, Séminaire d'Analyse non linéaire et Optimisation, Avignon (France)
- Practical acceleration for some optimization methods using relaxation and inertia, Séminaire Signal-Image, Institut de Mathématiques de Bordeaux, Bordeaux (France)
- Practical accelerations for the alternating direction method of multipliers, PICOF Workshop, Autrans (France)
- Descente par coordonnées stochastique dans l'algorithme du point fixe et application aux méthodes d'optimisation, Congrès d'Analyse Numérique (CANUM), Obernai (France)
2015
- Relaxation and Inertia on the Proximal Point Algorithm, Titan Workshop, Grenoble (France)
- Relaxation and Inertia on Fixed point algorithms, Journées EDP Rhône-Alpes-Auvergne (JERAA), Clermont-Ferrand (France)
- Online Relaxation Method for Improving Linear Convergence Rates of the ADMM, Benelux Meeting on Systems and Control, Lommel (Belgium)
2014
- Asynchronous Distributed Optimization, Journées MAS, Toulouse (France)
- Distributed Optimization Techniques for Learning over Big Data, ESSEC/Centrale-Supélec Conference “Bridging Worlds in Big Data”, La Défense, Paris (France)
- Distributed Asynchronous optimization using the ADMM, Large graphs and networks seminar, ICTEAM, Université catholique de Louvain, Louvain-la-Neuve (Belgium) Slides
2013
- Distributed Optimization using a Randomized Alternating Direction Method of Multipliers, Digicosme Research Day, Digiteo, Gif-sur-Yvette (France)
2012
- Distributed Estimation of the Average Value in Wireless Sensor Networks, Alcatel-Lucent Chair Seminar, Supélec, Gif-sur-Yvette (France)
- Some useful results on Matrix Products for Signal Processing, Ph.D. Candidates Seminar, Télécom ParisTech, Paris (France)
2011
- Distributed Maximal Value Estimation, Ph.D. Candidates Seminar, Télécom ParisTech, Paris (France)
- Estimation distribuée du maximum dans un réseau de capteurs, Colloque GRETSI, Bordeaux (France)