Avetik Karagulyan

Publications

Article dans une revue (3)

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited Lu Yu,Avetik Karagulyan,Arnak Dalalyan ICLR International Conference on Learning Representations, 2024 Article dans une revue hal-04703387v1
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets Arnak S. Dalalyan,Avetik Karagulyan,Lionel Riou-Durand Journal of Machine Learning Research, 2022 Article dans une revue hal-04901497v1
Existence of positive solutions for an approximation of stationary mean-field games Nojood Almayouf,Elena Bachini,Andreia Chapouto,Rita Ferreira,Diogo Gomeset al. Involve, a Journal of Mathematics, 2017, 10 (3), pp.473-493. ⟨10.2140/involve.2017.10.473⟩ Article dans une revue hal-04901472v1

Communication dans un congrès (3)

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization Hanmin Li,Avetik Karagulyan,Peter Richtárik International Conference on Learning Representations, May 2024, Vienna, Austria Communication dans un congrès hal-04901527v1
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition Lukang Sun,Avetik Karagulyan,Peter Richtarik The 26th International Conference on Artificial Intelligence and Statistics, 2023, Valencia (Espagne), Spain. ⟨10.48550/arXiv.2206.00508⟩ Communication dans un congrès hal-04901622v1
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets Avetik Karagulyan,Arnak Dalalyan Neural Information Processing Systems, Dec 2020, Vancouver (BC), Canada. pp.17594-17604, ⟨10.48550/arXiv.2006.13998⟩ Communication dans un congrès hal-04901582v1

Pré-publication, Document de travail (3)

SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Non-convex Cross-Device Federated Learning Avetik Karagulyan,Egor Shulgin,Abdurakhmon Sadiev,Peter Richtárik 2024 Pré-publication, Document de travail hal-04901632v1
Variance Reduced Distributed Non-Convex Optimization Using Matrix Stepsizes Hanmin Li,Avetik Karagulyan,Peter Richtárik 2023 Pré-publication, Document de travail hal-04901556v1
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression Avetik Karagulyan,Peter Richtárik 2023 Pré-publication, Document de travail hal-04901378v1

Thèse (1)

Sampling with the Langevin Monte-Carlo Avetik Karagulyan Probability [math.PR]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAG002⟩ Thèse tel-03267728v1