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02/06/2023
Causal Shift-Response Functions with Neural Networks: The Health Benefits of Lowering Air Quality Standards in the US
Policymakers are required to evaluate the health benefits of reducing th...
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10/21/2022
Targeted active learning for probabilistic models
A fundamental task in science is to design experiments that yield valuab...
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09/25/2022
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
Estimating the causal effects of a spatially-varying intervention on a s...
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05/09/2022
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
Reinforcement Learning (RL) is a computational approach to reward-driven...
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03/22/2022
Bayesian Nonparametric Adjustment of Confounding
Analysis of observational studies increasingly confronts the challenge o...
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02/28/2022
Estimating Importation Risk of Covid-19 in Hurricane Evacuations: A Prediction Framework Applied to Hurricane Laura in Texas
In August 2020, as Texas was coming down from a large summer COVID-19 su...
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05/27/2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Learning with an objective to minimize the mismatch with a reference dis...
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11/19/2019
Large-Scale Spatiotemporal Density Smoothing with the Graph-fused Elastic Net: Application to Ride-sourcing Driver Productivity Analysis
Ride-sourcing or transportation network companies (TNCs) provide on-dema...
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10/15/2018
Random clique covers for graphs with local density and global sparsity
Large real-world graphs tend to be sparse, but they often contain densel...
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09/27/2018