Marina Sheshukova

According to our database, Marina Sheshukova authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Scalable LinUCB: Low-Rank Design Matrix Updates for Recommenders with Large Action Spaces.

Evgenia Shustova, Marina Sheshukova, Sergey Samsonov, Evgeny Frolov

CoRR, October, 2025

On the Rate of Gaussian Approximation for Linear Regression Problems.

Marat Khusainov, Marina Sheshukova, Alain Durmus, Sergey Samsonov

CoRR, September, 2025

Statistical inference for Linear Stochastic Approximation with Markovian Noise.

Sergey Samsonov, Marina Sheshukova, Eric Moulines, Alexey Naumov

CoRR, May, 2025

Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent.

Marina Sheshukova, Sergey Samsonov, Denis Belomestny, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov

CoRR, February, 2025

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation.

Marina Sheshukova, Denis Belomestny, Alain Oliviero Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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