67 citations · 111 across the 41 of their papers we have counts for
45 papers
Multi-Task Active Learning with Efficient Resource Allocation
Hanwen Ye, Jiuchen Zhang, Annie Qu
Many scientific studies allow costly auxiliary information to be collected during data labeling but not at deployment. Examples include diagnostic tests, laboratory assays, and exp…
Risk-Aware Quantile Learning for Personalized Dynamic Treatment Regimes
Chunyin Lei, Annie Qu
Sequential clinical decision-making often involves more than maximizing average efficacy. Clinicians may need to simultaneously optimize clinically relevant tails of the outcome di…
Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
Ziheng Wei, Annie Qu, Rui Miao
In offline Reinforcement Learning, immediate rewards in logged batch data are often unobserved due to sparse or irregular record-keeping, or censored beyond certain reward values.…
Dynamic Topic Modeling with a Higher-Order Hypergraphical Representation
Hanjia Gao, Hanwen Ye, Qing Nie +1
Dynamic topic modeling is widely used to analyze evolving trends in scientific literature, medical records, and social media. Traditional topic models represent each topic through…
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing
Yuanpeng Li, Gefei Lin, Annie Qu +1
Soft Actor-Critic (SAC) and its variants dominate Multi-Task Reinforcement Learning (MTRL) due to their off-policy sample efficiency, while on-policy methods such as Proximal Polic…
Testing Cumulative Treatment Effects in Continuous Time with ODE Dynamics and Noisy Observations
Jiuchen Zhang, Annie Qu
We develop a semiparametric continuous time inferential framework for testing cumulative treatment effects, including both immediate and carryover effects. The latent state process…