research
∙
07/05/2023
Meta-Learning Adversarial Bandit Algorithms
We study online meta-learning with bandit feedback, with the goal of imp...
share
research
∙
07/03/2023
Adaptive Principal Component Regression with Applications to Panel Data
Principal component regression (PCR) is a popular technique for fixed-de...
research
∙
06/09/2023
Strategic Apple Tasting
Algorithmic decision-making in high-stakes domains often involves assign...
research
∙
11/25/2022
Strategyproof Decision-Making in Panel Data Settings and Beyond
We propose a framework for decision-making in the presence of strategic ...
research
∙
09/28/2022
Meta-Learning in Games
In the literature on game-theoretic equilibrium finding, focus has mainl...
research
∙
05/27/2022
Meta-Learning Adversarial Bandits
We study online learning with bandit feedback across multiple tasks, wit...
research
∙
12/12/2021
Bayesian Persuasion for Algorithmic Recourse
When subjected to automated decision-making, decision subjects may strat...
research
∙
07/12/2021
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Machine Learning algorithms often prompt individuals to strategically mo...
research
∙
06/07/2021
