Alexey Kroshnin

According to our database, Alexey Kroshnin authored at least 13 papers between 2018 and 2026.

Collaborative distances:

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

2026

SLDP: Semi-Local Differential Privacy for Density-Adaptive Analytics.

Alexey Kroshnin, Alexandra L. Suvorikova

CoRR, February, 2026

2025

UCB-type Algorithm for Budget-Constrained Expert Learning.

Ilgam Latypov, Alexandra L. Suvorikova, Alexey Kroshnin, Alexander V. Gasnikov, Yuriy Dorn

CoRR, October, 2025

Improved Stochastic Optimization of LogSumExp.

Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel E. Dvurechensky

CoRR, September, 2025

2024

Primal-dual gradient methods for searching network equilibria in combined models with nested choice structure and capacity constraints.

Meruza Kubentayeva, Demyan Yarmoshik, Michael Persiianov, Alexey Kroshnin, Ekaterina Kotliarova, Nazarii Tupitsa, Dmitry Pasechnyuk, Alexander V. Gasnikov, Vladimir Shvetsov, Leonid Baryshev, Alexey Shurupov

Comput. Manag. Sci., June, 2024

2021

Entropic-Wasserstein Barycenters: PDE Characterization, Regularity, and CLT.

Guillaume Carlier, Katharina Eichinger, Alexey Kroshnin

SIAM J. Math. Anal., 2021

On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle.

Alexey Kroshnin, Viacheslav Vasilev, Egor I. Ershov, Denis A. Shepelev, Dmitry P. Nikolaev, Mikhail Tchobanou

CoRR, 2021

2020

Robust k-means Clustering for Distributions with Two Moments.

Yegor Klochkov, Alexey Kroshnin, Nikita Zhivotovskiy

CoRR, 2020

2019

On the Complexity of Approximating Wasserstein Barycenter.

Alexey Kroshnin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Nazarii Tupitsa, César A. Uribe

CoRR, 2019

Gradient Methods for Problems with Inexact Model of the Objective.

Fedor S. Stonyakin, Darina Dvinskikh, Pavel E. Dvurechensky, Alexey Kroshnin, Olesya Kuznetsova, Artem Agafonov, Alexander V. Gasnikov, Alexander Tyurin, César A. Uribe, Dmitry Pasechnyuk, Sergei Artamonov

Proceedings of the Mathematical Optimization Theory and Operations Research, 2019

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.

Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

On the Complexity of Approximating Wasserstein Barycenters.

Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.

Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman

Proceedings of the Shape in Medical Imaging, 2018

Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm.

Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexey Kroshnin

Proceedings of the 35th International Conference on Machine Learning, 2018