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Ashok Cutkosky

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 14, 2026, 9:46 PM AMS

18

papers

270

total citations

papers (18)

High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails

NEURIPS 2021arXiv

Parameter-free Regret in High Probability with Heavy Tails

NEURIPS 2022arXiv

Mechanic: A Learning Rate Tuner

NEURIPS 2023arXiv

Online Linear Optimization with Many Hints

NEURIPS 2020arXiv

Logarithmic Regret from Sublinear Hints

NEURIPS 2021arXiv

Better SGD using Second-order Momentum

NEURIPS 2022arXiv

Momentum Aggregation for Private Non-convex ERM

NEURIPS 2022arXiv

Unconstrained Dynamic Regret via Sparse Coding

NEURIPS 2023arXiv

Online Linear Regression in Dynamic Environments via Discounting

Online Selective Classification with Limited Feedback

NEURIPS 2021arXiv

Comparator-Adaptive Convex Bandits

NEURIPS 2020arXiv

Optimal Comparator Adaptive Online Learning with Switching Cost

NEURIPS 2022arXiv

Random Scaling and Momentum for Non-smooth Non-convex Optimization

General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Differentially Private Online-to-batch for Smooth Losses

NEURIPS 2022arXiv

Alternation makes the adversary weaker in two-player games

Better Full-Matrix Regret via Parameter-Free Online Learning

Descent with Misaligned Gradients and Applications to Hidden Convexity