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04/11/2023
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models
We study dynamic discrete choice models, where a commonly studied proble...
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10/25/2022
Adaptive Experimental Design and Counterfactual Inference
Adaptive experimental design methods are increasingly being used in indu...
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07/05/2022
Instance-optimal PAC Algorithms for Contextual Bandits
In the stochastic contextual bandit setting, regret-minimizing algorithm...
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11/23/2020
Improved Confidence Bounds for the Linear Logistic Model and Applications to Linear Bandits
We propose improved fixed-design confidence bounds for the linear logist...
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07/15/2020
Identifying Reward Functions using Anchor Actions
We propose a reward function estimation framework for inverse reinforcem...
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02/04/2020
Decoupling Learning Rates Using Empirical Bayes Priors
In this work, we propose an Empirical Bayes approach to decouple the lea...
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05/17/2019
Seeker: Real-Time Interactive Search
This paper introduces Seeker, a system that allows users to interactivel...
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10/22/2018
An Efficient Bandit Algorithm for Realtime Multivariate Optimization
Optimization is commonly employed to determine the content of web pages,...
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10/02/2018
Contextual Multi-Armed Bandits for Causal Marketing
This work explores the idea of a causal contextual multi-armed bandit ap...
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10/02/2018
Diversifying Music Recommendations
We compare submodular and Jaccard methods to diversify Amazon Music reco...
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10/02/2018
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge
Hexoses are simple sugars that play a key role in many cellular pathways...
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10/02/2018