Sergey Samsonov

According to our database, Sergey Samsonov authored at least 20 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Theoretical guarantees for neural control variates in MCMC.

Denis Belomestny, Artur Goldman, Alexey Naumov, Sergey Samsonov

Math. Comput. Simul., 2024

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning.

Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Réda Alami, Alexey Naumov, Eric Moulines

CoRR, 2024

Queuing dynamics of asynchronous Federated Learning.

Louis Leconte, Matthieu Jonckheere, Sergey Samsonov, Eric Moulines

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations.

Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov

Neural Networks, April, 2023

Finite-Sample Analysis of the Temporal Difference Learning.

Sergey Samsonov, Daniil Tiapkin, Alexey Naumov, Eric Moulines

CoRR, 2023

First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities.

Aleksandr Beznosikov, Sergey Samsonov, Marina Sheshukova, Alexander V. Gasnikov, Alexey Naumov, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Variance reduction for additive functionals of Markov chains via martingale representations.

Denis Belomestny, Eric Moulines, Sergey Samsonov

Stat. Comput., 2022

Finite-time High-probability Bounds for Polyak-Ruppert Averaged Iterates of Linear Stochastic Approximation.

Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov

CoRR, 2022

Local-Global MCMC kernels: the best of both worlds.

Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BR-SNIS: Bias Reduced Self-Normalized Importance Sampling.

Gabriel Cardoso, Sergey Samsonov, Achille Thin, Eric Moulines, Jimmy Olsson

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses.

Daniil Tiapkin, Denis Belomestny, Eric Moulines, Alexey Naumov, Sergey Samsonov, Yunhao Tang, Michal Valko, Pierre Ménard

Proceedings of the International Conference on Machine Learning, 2022

2021

Variance Reduction for Dependent Sequences with Applications to Stochastic Gradient MCMC.

Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov

SIAM/ASA J. Uncertain. Quantification, 2021

Ex²MCMC: Sampling through Exploration Exploitation.

Evgeny Lagutin, Daniil Selikhanovych, Achille Thin, Sergey Samsonov, Alexey Naumov, Denis Belomestny, Maxim Panov, Eric Moulines

CoRR, 2021

Model-free policy evaluation in Reinforcement Learning via upper solutions.

Denis Belomestny, Ilya Levin, Eric Moulines, Alexey Naumov, Sergey Samsonov, Veronika Zorina

CoRR, 2021

Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize.

Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MasTer: A Full Automatic Multi-Satellite InSAR Mass Processing Tool for Rapid Incremental 2D Ground Deformation Time Series.

Nicolas d'Oreye, Dominique Derauw, Sergey Samsonov, Maxime Jaspard, Delphine Smittarello

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning.

Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Hoi-To Wai

Proceedings of the Conference on Learning Theory, 2021

2020

Variance reduction for Markov chains with application to MCMC.

Denis Belomestny, Leonid Iosipoi, Eric Moulines, Alexey Naumov, Sergey Samsonov

Stat. Comput., 2020

2017

Block-based damage assessment of the 2012 Ahar-Varzaghan, Iran, earthquake through SAR remote senisng data.

Sadra Karimzadeh, Sergey Samsonov, Masashi Matsuoka

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2007

Docking study on mammalian CTR1 copper importer motifs.

Evgeny Zatulovskiy, Sergey Samsonov, Alexei Skvortsov

BMC Syst. Biol., 2007