Posts

Between 15 February and 15 April, I will work as a Visiting Student in the Machine Learning Department of MBZUAI under the supervision of Professor Martin Takáč.

“Sign Operator for Coping with Heavy-Tailed Noise: High Probability Convergence Bounds with Extensions to Distributed Optimization and Comparison Oracle” – joint work with Nikita Kornilov, Philip Zmushko, Alexander Gasnikov and Aleksandr Beznosikov.

“Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning” – joint work with Philip Zmushko, Alexander Pichugin and Aleksandr Beznosikov.

This Autumn I was awarded 2 scholarships. K. V. Rudakov scientific academic scholarship and 1st degree personal scholarship for contributions to the development of numerical optimization methods. Overall cost is approximately $3300 during one semeter.

“Bregman Proximal Method for Efficient Communications under Similarity” – joint work with Aleksandr Beznosikov, Darina Dvinskikh, Dmity Bylinkin, Alexander Gasnikov.

I am accepted at MIPT to follow the Computer Science and Informatics Master’s program at the Department of Intelligent Systems.

“Mixed Newton Method for Optimization in Complex Spaces” – joint work with Nikita Yudin, Roland Hildebrand, Sergey Bakhurin, Alexander Degtyarev, Anna Lisachenko, Ilya Kuruzov, Mohammad Alkousa.

“Gradient Clipping Improves AdaGrad when the Noise Is Heavy-Tailed” – joint work with Savelii Chezhegov, Yaroslav Klyukin, Aleksandr Beznosikov, Alexander Gasnikov, Samuel Horváth, Martin Takáč and Eduard Gorbunov.

“Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning” – joint work with Vladimir Ivanov, Aleksandr Beznosikov, Alexander Gasnikov.