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Home/Authors/Tomer Koren

Tomer Koren

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 8:37 AM AMS

20

papers

262

total citations

papers (20)

Prediction with Corrupted Expert Advice

NEURIPS 2020arXiv

Asynchronous Stochastic Optimization Robust to Arbitrary Delays

NEURIPS 2021arXiv

Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study

NEURIPS 2020arXiv

Benign Underfitting of Stochastic Gradient Descent

NEURIPS 2022arXiv

Better Best of Both Worlds Bounds for Bandits with Switching Costs

NEURIPS 2022arXiv

Bandit Linear Control

NEURIPS 2020arXiv

Never Go Full Batch (in Stochastic Convex Optimization)

NEURIPS 2021arXiv

Stochastic Optimization with Laggard Data Pipelines

NEURIPS 2020arXiv

How Free is Parameter-Free Stochastic Optimization?

Algorithmic Instabilities of Accelerated Gradient Descent

NEURIPS 2021arXiv

Optimal Rates for Random Order Online Optimization

NEURIPS 2021arXiv

Rate-Optimal Policy Optimization for Linear Markov Decision Processes

Rate-Optimal Online Convex Optimization in Adaptive Linear Control

NEURIPS 2022arXiv

Tight Risk Bounds for Gradient Descent on Separable Data

NEURIPS 2023arXiv

Dueling Convex Optimization with General Preferences

Optimal Rates in Continual Linear Regression via Increasing Regularization

NEURIPS 2025arXiv

Convergence of Policy Mirror Descent Beyond Compatible Function Approximation

Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification

NEURIPS 2025arXiv

Towards Best-of-All-Worlds Online Learning with Feedback Graphs

Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching