Mark Sellke
10 papers · 2020–2024 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐บ๏ธ Taxonomy Completionist (20) ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (4)
๐
Cross-Pollinator
(9)
๐
Century Club
(10)
๐ฅ
Unstoppable
(5)
Conferences
NIPS (4)
COLT (3)
ICML (2)
ALT (1)
Top co-authors
Keywords
multi-armed bandit
(6)
regret bound
(3)
collision avoidance
(2)
thompson sampling
(2)
sample complexity
(1)
pac learning
(1)
feature matching
(1)
neural network optimization
(1)
distribution matching
(1)
stochastic process
(1)
low rank matrix
(1)
low rank approximation
(1)
stochastic mirror descent
(1)
bayesian regret
(1)
generalization bound
(1)
linear bandit
(1)
cooperative learning
(1)
pure exploration
(1)
theoretical guarantee
(1)
linear algebra
(1)
Papers
Metric Transforms and Low Rank Representations of Kernels for Fast Attention
NIPS 2024
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
ICML 2024
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits
NIPS 2023
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
ICML 2023
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
NIPS 2022
The Pareto Frontier of Instance-Dependent Guarantees in Multi-Player Multi-Armed Bandits with no Communication
COLT 2022
A Universal Law of Robustness via Isoperimetry
NIPS 2021
Cooperative and Stochastic Multi-Player Multi-Armed Bandit: Optimal Regret With Neither Communication Nor Collisions
COLT 2021
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without
COLT 2020
First-Order Bayesian Regret Analysis of Thompson Sampling
ALT 2020