Ashok Cutkosky
53 papers · 2016–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 23% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ashok Cutkosky?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Manish Purohit, Aditya Bhaskara, Ravi Kumar
10 papers
· 2020–2026
· ICML, NeurIPS, COLT
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Adaptive Weighted Averaging
COLT 2026
Descent with Misaligned Gradients and Applications to Hidden Convexity
ICLR 2025
Bandit Online Linear Optimization with Hints and Queries
ICML 2023
Leveraging Initial Hints for Free in Stochastic Linear Bandits
ALT 2022
Dynamic Balancing for Model Selection in Bandits and RL
ICML 2021
Logarithmic Regret from Sublinear Hints
NeurIPS 2021
Power of Hints for Online Learning with Movement Costs
AISTATS 2021
Robust Pure Exploration in Linear Bandits with Limited Budget
ICML 2021
Online Learning with Imperfect Hints
ICML 2020
Online Linear Optimization with Many Hints
NeurIPS 2020
12 papers whose co-authors appear nowhere else under this name
Fully Unconstrained Online Learning
NeurIPS 2024
Alternation makes the adversary weaker in two-player games
NeurIPS 2023
Online Selective Classification with Limited Feedback
NeurIPS 2021
Better Full-Matrix Regret via Parameter-Free Online Learning
NeurIPS 2020
Comparator-Adaptive Convex Bandits
NeurIPS 2020
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
ICML 2020
Anytime Online-to-Batch, Optimism and Acceleration
ICML 2019
Artificial Constraints and Hints for Unbounded Online Learning
COLT 2019
Combining Online Learning Guarantees
COLT 2019
Matrix-Free Preconditioning in Online Learning
ICML 2019
Distributed Stochastic Optimization via Adaptive SGD
NeurIPS 2018
Online Learning Without Prior Information
COLT 2017