4 citations · 5 across the 16 of their papers we have counts for
3 papers · 1 filter
New Aspects of Black Box Conditional Gradient: Variance Reduction and One Point Feedback
Andrey Veprikov, Aleksandr Bogdanov, Vladislav Minashkin +1
This paper deals with the black-box optimization problem. In this setup, we do not have access to the gradient of the objective function, therefore, we need to estimate it somehow.…
Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry
Vladimir Solodkin, Andrew Veprikov, Aleksandr Beznosikov
This paper examines a variety of classical optimization problems, including well-known minimization tasks and more general variational inequalities. We consider a stochastic formul…
A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems
Andrey Veprikov, Alexander Afanasiev, Anton Khritankov
Widespread deployment of societal-scale machine learning systems necessitates a thorough understanding of the resulting long-term effects these systems have on their environment, i…