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A. Gasnikov · SciRah

Researcher profile · Semantic Scholar

A. Gasnikov

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A. Gasnikov — researcher profile on SciRah

h-index: 32
Works: 158
Citations: 3,563

Most-cited papers

Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard A. Gorbunov, Marina Danilova, A. Gasnikov
2020Neural Information Processing Systems188 citations
Semantic Scholar
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova, P. Dvurechensky, A. Gasnikov, Eduard A. Gorbunov +3 more
2020arXiv.org123 citations
Semantic Scholar
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
Abdurakhmon Sadiev, Marina Danilova, Eduard A. Gorbunov, Samuel Horváth +4 more
2023International Conference on Machine Learning94 citations Open access
Semantic Scholar
On the Complexity of Approximating Wasserstein Barycenters
Alexey Kroshnin, Nazarii Tupitsa, D. Dvinskikh, P. Dvurechensky +2 more
2019International Conference on Machine Learning89 citations
Semantic Scholar
Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives
A. Gasnikov, P. Dvurechensky, Eduard A. Gorbunov, E. Vorontsova +10 more
2019Annual Conference Computational Learning Theory73 citations
Semantic Scholar
On a Combination of Alternating Minimization and Nesterov's Momentum
Sergey Guminov, P. Dvurechensky, Nazarii Tupitsa, A. Gasnikov
2019International Conference on Machine Learning53 citations
Semantic Scholar
Gradient Methods for Problems with Inexact Model of the Objective
F. Stonyakin, D. Dvinskikh, P. Dvurechensky, Aleksei Kroshnin +7 more
2019Motor48 citations Open access
Semantic Scholar
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard A. Gorbunov, Marina Danilova, David Dobre, P. Dvurechensky +2 more
2022Neural Information Processing Systems38 citations Open access
Semantic Scholar
Decentralized and Parallelized Primal and Dual Accelerated Methods for Stochastic Convex Programming Problems
D. Dvinskikh, A. Gasnikov
201938 citations
Semantic Scholar
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise
Eduard A. Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horváth +4 more
2023arXiv.org37 citations Open access
Semantic Scholar
Recent theoretical advances in decentralized distributed convex optimization.
Eduard A. Gorbunov, A. Rogozin, A. Beznosikov, D. Dvinskikh +1 more
202037 citations Open access
Semantic Scholar
High Probability Complexity Bounds for Non-Smooth Stochastic Optimization with Heavy-Tailed Noise
Eduard A. Gorbunov, Marina Danilova, Innokentiy Shibaev, P. Dvurechensky +1 more
202135 citations
Semantic Scholar
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
Nikita Puchkin, Eduard A. Gorbunov, Nikolay Kutuzov, A. Gasnikov
2023arXiv.org34 citations
Semantic Scholar
Randomized gradient-free methods in convex optimization
A. Gasnikov, D. Dvinskikh, P. Dvurechensky, Eduard A. Gorbunov +2 more
202232 citations Open access
Semantic Scholar
Decentralized and parallel primal and dual accelerated methods for stochastic convex programming problems
D. Dvinskikh, A. Gasnikov
2021Journal of Inverse and Ill-Posed Problems31 citations Open access
Semantic Scholar
Inexact tensor methods and their application to stochastic convex optimization
A. Agafonov, D. Kamzolov, P. Dvurechensky, A. Gasnikov +1 more
2020Optim. Methods Softw.31 citations Open access
Semantic Scholar
Inexact Relative Smoothness and Strong Convexity for Optimization and Variational Inequalities by Inexact Model
F. Stonyakin, A. Tyurin, A. Gasnikov, P. Dvurechensky +6 more
202031 citations
Semantic Scholar
On Primal and Dual Approaches for Distributed Stochastic Convex Optimization over Networks
D. Dvinskikh, Eduard A. Gorbunov, A. Gasnikov, P. Dvurechensky +1 more
2019IEEE Conference on Decision and Control28 citations
Semantic Scholar
An Accelerated Method For Decentralized Distributed Stochastic Optimization Over Time-Varying Graphs
A. Rogozin, M. Bochko, P. Dvurechensky, A. Gasnikov +1 more
2021IEEE Conference on Decision and Control27 citations Open access
Semantic Scholar
Adaptive Catalyst for Smooth Convex Optimization
A. Ivanova, D. Pasechnyuk, Dmitry Grishchenko, Egor Shulgin +2 more
2019OPTIMA27 citations Open access
Semantic Scholar
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance
Nikita Kornilov, Ohad Shamir, A. Lobanov, D. Dvinskikh +4 more
2023Neural Information Processing Systems24 citations Open access
Semantic Scholar
On Accelerated Alternating Minimization
Sergey Guminov, P. Dvurechensky, A. Gasnikov
201924 citations
Semantic Scholar
An Adaptive Proximal Method for Variational Inequalities
A. Gasnikov, P. E. Dvurechensky, F. Stonyakin, A. Titov
2019Computational Mathematics and Mathematical Physics24 citations Open access
Semantic Scholar
An Accelerated Second-Order Method for Distributed Stochastic Optimization
A. Agafonov, P. Dvurechensky, Gesualdo Scutari, A. Gasnikov +3 more
2021IEEE Conference on Decision and Control22 citations Open access
Semantic Scholar
Accelerated methods for composite non-bilinear saddle point problem
M. Alkousa, D. Dvinskikh, F. Stonyakin, A. Gasnikov +1 more
201922 citations
Semantic Scholar
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization
P. Dvurechensky, D. Kamzolov, A. Lukashevich, Soomin Lee +3 more
2021EURO Journal on Computational Optimization21 citations Open access
Semantic Scholar
Accelerated gradient methods with absolute and relative noise in the gradient
Artem Vasin, A. Gasnikov, P. Dvurechensky, V. Spokoiny
2021Optim. Methods Softw.21 citations Open access
Semantic Scholar
Optimal Combination of Tensor Optimization Methods
D. Kamzolov, A. Gasnikov, P. Dvurechensky
2020OPTIMA20 citations Open access
Semantic Scholar
Near-Optimal Hyperfast Second-Order Method for convex optimization and its Sliding.
Dmitry Kamzolov, A. Gasnikov
202020 citations
Semantic Scholar
Primal-dual accelerated gradient descent with line search for convex and nonconvex optimization problems
S. V. Guminov, Y. Nesterov, P. E. Dvurechensky, A. Gasnikov
2019Doklady Akademii Nauk20 citations Open access
Semantic Scholar
Multimarginal Optimal Transport by Accelerated Alternating Minimization
Nazarii Tupitsa, P. Dvurechensky, A. Gasnikov, César A. Uribe
2020IEEE Conference on Decision and Control19 citations Open access
Semantic Scholar
Stopping rules for accelerated gradient methods with additive noise in gradient
Artem Vasin, A. Gasnikov, V. Spokoiny
202117 citations
Semantic Scholar
Oracle Complexity Separation in Convex Optimization
A. Ivanova, P. Dvurechensky, E. Vorontsova, D. Pasechnyuk +3 more
2020Journal of Optimization Theory and Applications17 citations Open access
Semantic Scholar
Adaptive Gradient Descent for Convex and Non-Convex Stochastic Optimization
Aleksandr Ogaltsov, D. Dvinskikh, P. Dvurechensky, A. Gasnikov +1 more
201917 citations
Semantic Scholar
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
A. Agafonov, D. Kamzolov, A. Gasnikov, Ali Kavis +3 more
2023International Conference on Learning Representations16 citations
Semantic Scholar
FLECS: a federated learning second-order framework via compression and sketching
A. Agafonov, D. Kamzolov, R. Tappenden, A. Gasnikov +1 more
2022Optim. Methods Softw.15 citations Open access
Semantic Scholar
Generalized Mirror Prox Algorithm for Monotone Variational Inequalities: Universality and Inexact Oracle
F. Stonyakin, A. Gasnikov, P. Dvurechensky, A. Titov +1 more
2022Journal of Optimization Theory and Applications14 citations
Semantic Scholar
Tensor methods for strongly convex strongly concave saddle point problems and strongly monotone variational inequalities
P. Ostroukhov, R. Kamalov, P. Dvurechensky, A. Gasnikov
2020Computer Research and Modeling14 citations Open access
Semantic Scholar
Accelerated Alternating Minimization, Accelerated Sinkhorn's Algorithm and Accelerated Iterative Bregman Projections.
Sergey Guminov, P. Dvurechensky, Nazarii Tupitsa, A. Gasnikov
201914 citations
Semantic Scholar
Gradient-free methods for non-smooth convex stochastic optimization with heavy-tailed noise on convex compact
Nikita Kornilov, A. Gasnikov, P. Dvurechensky, D. Dvinskikh
2023Computational Management Science12 citations Open access
Semantic Scholar
Gradient-Free Optimization for Non-Smooth Minimax Problems with Maximum Value of Adversarial Noise
D. Dvinskikh, A. Gasnikov
202212 citations
Semantic Scholar
On the line-search gradient methods for stochastic optimization
D. Dvinskikh, Aleksandr Ogaltsov, A. Gasnikov, P. Dvurechensky +1 more
2020IFAC-PapersOnLine12 citations Open access
Semantic Scholar
Accelerated Meta-Algorithm for Convex Optimization Problems
A. Gasnikov, D. Dvinskikh, P. Dvurechensky, D. Kamzolov +4 more
2021Computational Mathematics and Mathematical Physics11 citations Open access
Semantic Scholar
Analogues of Switching Subgradient Schemes for Relatively Lipschitz-Continuous Convex Programming Problems
A. Titov, F. Stonyakin, M. Alkousa, S. S. Ablaev +1 more
2020Mathematical Optimization Theory and Operations Research11 citations Open access
Semantic Scholar
High-Probability Complexity Bounds for Non-smooth Stochastic Convex Optimization with Heavy-Tailed Noise
E. Gorbunov, M. Danilova, Innokentiy Shibaev, P. Dvurechensky +1 more
2024Journal of Optimization Theory and Applications10 citations
Semantic Scholar
Algorithms for Solving Variational Inequalities and Saddle Point Problems with Some Generalizations of Lipschitz Property for Operators
A. Titov, F. Stonyakin, M. Alkousa, A. Gasnikov
2021Communications in Computer and Information Science10 citations Open access
Semantic Scholar
Intermediate Gradient Methods with Relative Inexactness
Nikita Kornilov, M. Alkousa, Eduard A. Gorbunov, F. Stonyakin +2 more
2023Journal of Optimization Theory and Applications9 citations Open access
Semantic Scholar
Exploiting higher-order derivatives in convex optimization methods
D. Kamzolov, A. Gasnikov, P. Dvurechensky, A. Agafonov +1 more
20229 citations
Semantic Scholar
Alternating minimization methods for strongly convex optimization
Nazarii Tupitsa, P. Dvurechensky, A. Gasnikov, Sergey Guminov
2019Journal of Inverse and Ill-Posed Problems9 citations Open access
Semantic Scholar
Stochastic saddle-point optimization for the Wasserstein barycenter problem
D. Tiapkin, A. Gasnikov, P. Dvurechensky
2020Optimization Letters8 citations
Semantic Scholar

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