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Eduard Gorbunov

ICML 2026×5理论与学习动力学效率与系统

新星分资深

21

一作贡献0

核心/参与10

方向广度4

合作网络9

0 一作 · 5 篇 · ICML 2026

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2026 顶会论文

5

作者位次 #4/4ICML 2026Poster· Optimization / Stochastic

General Analysis of LMO-based Optimizers: Beyond Bounded Variance

Egor Shulgin · Mohamed Awad · Peter Richtarik · Eduard Gorbunov

作者位次 #3/3ICML 2026Poster· Optimization / Stochastic

From Optimization to Generalization under Heavy-Tailed Data: The Role of Gradient Clipping

Aleksandr Shestakov · Martin Takac · Eduard Gorbunov

理论与学习动力学OpenReview

作者位次 #5/6ICML 2026Poster· Optimization / Large Scale, Parallel and Distributed

On the Role of Batch Size in Stochastic Conditional Gradient Methods

Rustem Islamov · Roman Machacek · Aurelien Lucchi · Antonio Silveti-Falls · Eduard Gorbunov · Volkan Cevher

作者位次 #6/6ICML 2026Poster· Optimization / Stochastic

On the Interaction of Batch Noise, Adaptivity, and Compression, under $(L_0,L_1)$-Smoothness: An SDE Approach

Enea Monzio Compagnoni · Rustem Islamov · Frank Proske · Aurelien Lucchi · Antonio Orvieto · Eduard Gorbunov

效率与系统OpenReview

作者位次 #4/5ICML 2026Poster· Theory / Optimization

Accelerated and Stable Convergence with Anchored Generalized Optimistic Method

Motahareh Sohrabi · Jianxin You · Simon Lacoste-Julien · Eduard Gorbunov · Gauthier Gidel

理论与学习动力学OpenReview

常见合作者

RIRustem Islamov×2 ALAurelien Lucchi×2 ESEgor Shulgin MAMohamed Awad PRPeter Richtarik ASAleksandr Shestakov MTMartin Takac RMRoman Machacek ASAntonio Silveti-Falls VCVolkan Cevher ECEnea Monzio Compagnoni FPFrank Proske