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07/21/2023
Bandits with Deterministically Evolving States
We propose a model for learning with bandit feedback while accounting fo...
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12/01/2021
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls
We investigate the optimal design of experimental studies that have pre-...
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02/25/2021
Batched Neural Bandits
In many sequential decision-making problems, the individuals are split i...
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02/24/2020
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms
We characterize Bayesian regret in a stochastic multi-armed bandit probl...
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01/11/2019
Non-Parametric Inference Adaptive to Intrinsic Dimension
We consider non-parametric estimation and inference of conditional momen...
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10/27/2017
Matrix Completion Methods for Causal Panel Data Models
In this paper we develop new methods for estimating causal effects in se...
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04/28/2017
Exploiting the Natural Exploration In Contextual Bandits
The contextual bandit literature has traditionally focused on algorithms...
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11/04/2016
