Keegan Harris
10 papers · 2021–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
β
The Questioner
(2)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Keywords
multi-armed bandit
(3)
online learning
(3)
contextual bandit
(2)
causal inference
(2)
stackelberg game
(2)
game theory
(2)
large language model
(2)
regret minimization
(1)
adversarial setting
(1)
in-context learning
(1)
distribution shift
(1)
principal component regression
(1)
incentive mechanism
(1)
online mirror descent
(1)
linear programming
(1)
regret bound
(1)
side information
(1)
strategic behavior
(1)
hyperparameter tuning
(1)
exploration-exploitation tradeoff
(1)
Papers
Should You Use Your Large Language Model to Explore or Exploit?
UAI 2026
Can large language models explore in-context?
NeurIPS 2024
Regret Minimization in Stackelberg Games with Side Information
NeurIPS 2024
Adaptive Principal Component Regression with Applications to Panel Data
NeurIPS 2023
Meta-Learning Adversarial Bandit Algorithms
NeurIPS 2023
Meta-Learning in Games
ICLR 2023
Strategic Apple Tasting
NeurIPS 2023
Bayesian Persuasion for Algorithmic Recourse
NeurIPS 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Stateful Strategic Regression
NeurIPS 2021