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06/25/2023
Towards Trustworthy Explanation: On Causal Rationalization
With recent advances in natural language processing, rationalization bec...
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03/24/2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning
In real-world applications of reinforcement learning, it is often challe...
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01/29/2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
Heterogeneity and comorbidity are two interwoven challenges associated w...
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12/30/2022
Heterogeneous Synthetic Learner for Panel Data
In the new era of personalization, learning the heterogeneous treatment ...
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05/15/2022
How Much Does Home Field Advantage Matter in Soccer Games? A Causal Inference Approach for English Premier League Analysis
In many sports, it is commonly believed that the home team has an advant...
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11/17/2021
Jump Interval-Learning for Individualized Decision Making
An individualized decision rule (IDR) is a decision function that assign...
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10/29/2021
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
Evaluating the performance of an ongoing policy plays a vital role in ma...
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10/11/2021
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search
Personalized medicine, a paradigm of medicine tailored to a patient's ch...
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05/30/2021
Periodic-GP: Learning Periodic World with Gaussian Process Bandits
We consider the sequential decision optimization on the periodic environ...
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04/21/2021
GEAR: On Optimal Decision Making with Auxiliary Data
Personalized optimal decision making, finding the optimal decision rule ...
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04/21/2021
Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
We consider the optimal decision-making problem in a primary sample of i...
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10/29/2020