2025

Talks

Séminaire d'Automatique du Plateau de Saclay, 13 Mar 2025, L2S, France | Talk: "SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning"
The Paris-Saclay Signal Seminar (Scube), 7 Feb 2025, L2S, France | Talk: "ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression"
2024

International Conference on Learning Representations, 9 May 2024, Vienna, Austria | Poster: "Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited"
International Conference on Learning Representations, 7 May 2024, Vienna, Austria | Poster: "Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization"
2023

"Federated Learning and Analytics in Practice: Algorithms, Systems, Applications, and Opportunities" workshop at ICML, 28 Jul 2023, Honolulu, Hawaii, USA | Poster: "ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression"
Summer School "Statistics and Learning Theory" 9-15 Jul, 2023 Tsaghkadzor, Armenia | Invited Talk: "ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression"
3rd conference "Mathematics in Armenia" 3-7 Jul, 2023 Yerevan State University, Armenia | Talk: "ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression"
"SIAM Optimization 23" 30 May - 3 Jun, 2023 Seattle, USA | Talk: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition". Organized a mini-symposium entitled "Wasserstein Gradient Flows and Applications" with Anna Korba and Adil Salim
"Artificial Intelligence and Statistics conference" 25-27 Apr, 2023 Valencia, Spain | Poster: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
"Rising Stars in AI symposium" 19-21 Feb 2023, KAUST, Saudi Arabia | Poster: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
2022

"Quantitative Methods Area Seminar" 4 Nov 2022, Krannert School of Management, Purdue University (virtual) | Talk: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
"Statistical Physics and Machine Learning" 4-29 July 2022, Les Houches, France | Poster: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
International Symposium on Non-parametric Statistics 19-24 June 2022, Paphos, Cyprus | Poster: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
"Conference on the Mathematics for Complex Data" 13-16 June 2022, Stockholm, Sweden | Poster: "Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition"
2021

2020

Meetings in Mathematical Statistics, 14-18 December 2020, Luminy, France | Talk: "Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets"
34th Conference on Neural Information Processing Systems, 6th to 12th December 2020, Vancouver, Canada | Poster: "Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets"
Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning (SPIGL'20), 26th July to 31st July 2020, Les Houches, France | Talk: "Statistical Inference via Langevin Dynamics"
Optimization for Machine Learning, 9-13 March 2020, Luminy, France
2019

Meeting in Mathematical Statistics, 16-20 December 2019, Luminy, France
Seminar at Télécom ParisTech, April 2019, Paris, France | Talk: "Non-Asymptotic results for Sampling with Langevin Monte-Carlo"
8èmes Rencontres des Jeunes Statisticiens (RJS 2019), 1-5 April 2019, Porquerolles, France | Talk: "User-friendly guarantees for the Langevin Monte Carlo."
2018

Seminar at the Yerevan State University, June 2018, Yerevan, Armenia | Talk: "Noisy Langevin Monte-Carlo"