most citedPermutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

3 citations · 3 across the 2 of their papers we have counts for

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stat.AP2023

Nonprobability follow-up sample analysis: an application to SARS-CoV-2 infection prevalence estimation

Yan Li, Laura Yee, Sally Hunsberger +3

Public health policy makers are faced with making crucial decisions rapidly during infectious disease outbreaks such as that caused by SARS-CoV-2. Ideally, rapidly deployed represe…

stat.AP2020

Adjusted Logistic Propensity Weighting Methods for Population Inference using Nonprobability Volunteer-Based Epidemiologic Cohorts

Lingxiao Wang, Richard Valliant, Yan Li

Many epidemiologic studies forgo probability sampling and turn to nonprobability volunteer-based samples because of cost, response burden, and invasiveness of biological samples. H…