Aleksandr Beznosikov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
6
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Bant: Byzantine Antidote via Trial Function and Trust Scores. | Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takc, Aleksandr Beznosikov |
| 2026 | AAAI | Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry. | Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov |
| 2026 | ACL | WeightLoRA: Keep Only Necessary Adapters. | Andrey Veprikov, Vladimir Solodkin, Alexander Zyl, Andrey V. Savchenko, Aleksandr Beznosikov |
| 2025 | AAAI | Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity. | Dmitry Bylinkin, Aleksandr Beznosikov |
| 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 | ICML | FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training. | Philip Zmushko, Aleksandr Beznosikov, Martin Takc, Samuel Horvth |
| 2025 | UAI | When Extragradient Meets PAGE: Bridging Two Giants to Boost Variational Inequalities. | Gleb Molodtsov, Valery Parfenov, Egor Petrov, Grigoriy Evseev, Daniil Medyakov, Aleksandr Beznosikov |
| 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 | ICLR | Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting. | Aleksei Ustimenko, Aleksandr Beznosikov |
| 2024 | ICML | Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features. | Aleksandr Beznosikov, David Dobre, Gauthier Gidel |
| 2023 | AISTATS | Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods. | Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard, Nicolas Loizou |
| 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 |