52 citations · 212 across the 22 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
Mao Ye, Qiang Liu
Bootstrap is a principled and powerful frequentist statistical tool for uncertainty quantification. Unfortunately, standard bootstrap methods are computationally intensive due to t…
math.OC2021★ 1 cited
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Mao Ye, Qiang Liu
Many modern machine learning applications, such as multi-task learning, require finding optimal model parameters to trade-off multiple objective functions that may conflict with ea…
cs.LG2021★ 17 cited
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie, Mao Ye, Qiang Liu +1
Motivated by the rising abundance of observational data with continuous treatments, we investigate the problem of estimating the average dose-response curve (ADRF). Available param…