Alexander V. Gasnikov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
6
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | OPTAMI: Global Superlinear Convergence of High-order Methods. | Dmitry Kamzolov, Artem Agafonov, Dmitry Pasechnyuk, Alexander V. Gasnikov, Martin Takc |
| 2025 | ICLR | Decentralized Optimization with Coupled Constraints. | Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander V. Gasnikov, Dmitry Kovalev |
| 2025 | ICML | On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms. | Ekaterina Borodich, Alexander V. Gasnikov, Dmitry Kovalev |
| 2025 | ICML | Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed. | Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander V. Gasnikov, Samuel Horvth, Martin Takc, Eduard Gorbunov |
| 2025 | UAI | An Optimal Algorithm for Strongly Convex Min-Min Optimization. | Dmitry Kovalev, Alexander V. Gasnikov, Grigory Malinovsky |
| 2024 | AISTATS | Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases. | Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin, Aleksandr Beznosikov, Gauthier Gidel, Alexander V. Gasnikov |
| 2024 | AISTATS | Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems. | Nikita Puchkin, Eduard Gorbunov, Nikolay Kutuzov, Alexander V. Gasnikov |
| 2024 | ICLR | Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness. | Artem Agafonov, Dmitry Kamzolov, Alexander V. Gasnikov, Ali Kavis, Kimon Antonakopoulos, Volkan Cevher, Martin Takc |
| 2024 | ICML | High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise. | Eduard Gorbunov, Abdurakhmon Sadiev, Marina Danilova, Samuel Horvth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtrik |
| 2023 | AISTATS | Algorithm for Constrained Markov Decision Process with Linear Convergence. | Egor Gladin, Maksim Lavrik-Karmazin, Karina Zainullina, Varvara Rudenko, Alexander V. Gasnikov, Martin Takc |
| 2023 | ICML | Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? | Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander V. Gasnikov |
| 2023 | ICML | High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance. | Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horvth, Gauthier Gidel, Pavel E. Dvurechensky, Alexander V. Gasnikov, Peter Richtrik |
| 2022 | AISTATS | Acceleration in Distributed Optimization under Similarity. | Ye Tian, Gesualdo Scutari, Tianyu Cao, Alexander V. Gasnikov |
| 2022 | AISTATS | Primal-Dual Stochastic Mirror Descent for MDPs. | Daniil Tiapkin, Alexander V. Gasnikov |
| 2022 | ICML | The power of first-order smooth optimization for black-box non-smooth problems. | Alexander V. Gasnikov, Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takc, Pavel E. Dvurechensky, Bin Gu |
| 2021 | ICML | Newton Method over Networks is Fast up to the Statistical Precision. | Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov |
| 2021 | ICML | On a Combination of Alternating Minimization and Nesterov's Momentum. | Sergey Guminov, Pavel E. Dvurechensky, Nazarii Tupitsa, Alexander V. Gasnikov |
| 2021 | ICML | ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks. | Dmitry Kovalev, Egor Shulgin, Peter Richtrik, Alexander Rogozin, Alexander V. Gasnikov |
| 2020 | ITA | A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. | Csar A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic |
| 2019 | COLT | Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives. | Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, Csar A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sbastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford |
| 2019 | COLT | Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization. | Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, Csar A. Uribe |
| 2019 | ICML | On the Complexity of Approximating Wasserstein Barycenters. | Alexey Kroshnin, Nazarii Tupitsa, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Cesar A. Uribe |
| 2018 | ICML | Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn's Algorithm. | Pavel E. Dvurechensky, Alexander V. Gasnikov, Alexey Kroshnin |