3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 3 cited
Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
Yan Li, Lingxiao Wang, Jiachen Yang +4
Multi-agent reinforcement learning (MARL) becomes more challenging in the presence of more agents, as the capacity of the joint state and action spaces grows exponentially in the n…
stat.ME2020
Efficient and Robust Propensity-Score-Based Methods for Population Inference using Epidemiologic Cohorts
Lingxiao Wang, Barry I. Graubard, Hormuzd A. Katki +1
Most epidemiologic cohorts are composed of volunteers who do not represent the general population. To enable population inference from cohorts, we and others have proposed utilizin…
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…