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Alexander Volfovsky

Duke University

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data

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Dec 17, 2023
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Estimating Trustworthy and Safe Optimal Treatment Regimes

Oct 23, 2023
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A Double Machine Learning Approach to Combining Experimental and Observational Data

Jul 04, 2023
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Matched Machine Learning: A Generalized Framework for Treatment Effect Inference With Learned Metrics

Apr 03, 2023
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From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference

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Feb 23, 2023
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Neighborhood Adaptive Estimators for Causal Inference under Network Interference

Dec 07, 2022
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Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It

Mar 09, 2022
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Author Clustering and Topic Estimation for Short Texts

Jun 15, 2021
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dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference

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Jan 14, 2021
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Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation

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Mar 03, 2020
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