77 citations · 118 across the 10 of their papers we have counts for
5 papers · 1 filter
Minimax Rates and Adaptivity in Combining Experimental and Observational Data
Shuxiao Chen, Bo Zhang, Ting Ye
Randomized controlled trials (RCTs) are the gold standard for evaluating the causal effect of a treatment; however, they often have limited sample sizes and sometimes poor generali…
Weighted Training for Cross-Task Learning
Shuxiao Chen, Koby Crammer, Hangfeng He +2
In this paper, we introduce Target-Aware Weighted Training (TAWT), a weighted training algorithm for cross-task learning based on minimizing a representation-based task distance be…
Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable
Shuxiao Chen, Bo Zhang
Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected. In this work, we develo…
Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Shuxiao Chen, Qinqing Zheng, Qi Long +1
A widely recognized difficulty in federated learning arises from the statistical heterogeneity among clients: local datasets often originate from distinct yet not entirely unrelate…
Federated -Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long +1
Federated learning (FL) is a training paradigm where the clients collaboratively learn models by repeatedly sharing information without compromising much on the privacy of their lo…