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06/21/2022
Policy learning with asymmetric utilities
Data-driven decision making plays an important role even in high stakes ...
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09/22/2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Algorithmic recommendations and decisions have become ubiquitous in toda...
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06/05/2021
PURS: Personalized Unexpected Recommender System for Improving User Satisfaction
Classical recommender system methods typically face the filter bubble pr...
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06/05/2021
Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction
Cross domain recommender system constitutes a powerful method to tackle ...
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12/04/2020
Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment
Despite an increasing reliance on fully-automated algorithmic decision m...
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12/03/2020
Multiply robust estimation of causal effects under principal ignorability
Causal inference concerns not only the average effect of the treatment o...
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11/16/2020
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
Two-stage randomized experiments are becoming an increasingly popular ex...
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08/06/2020
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
In causal inference, principal stratification is a framework for dealing...
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05/21/2020
Principal Fairness for Human and Algorithmic Decision-Making
Using the concept of principal stratification from the causal inference ...
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10/15/2019
Discussion of "The Blessings of Multiple Causes" by Wang and Blei
This commentary has two goals. We first critically review the deconfound...
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06/05/2019