3 papers
stat.ME2026
Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
Yen-Chun Liu, Alexander Volfovsky, German Schnaidt +2
This study addresses the challenge of estimating average treatment effects (ATEs) for advertising campaigns in online marketplaces where complete randomized experimentation is infe…
stat.CO2026
Fast multitask Gaussian processes, with application to surrogate modeling of the quark-gluon plasma
Aleksei G. Sorokin, Pieterjan Robbe, Yen-Chun Liu +2
Gaussian processes (GPs) are broadly used for the surrogate modeling of computer experiments with reliable uncertainty quantification. Our motivating application comes from the stu…
stat.AP2025
QuIP: Experimental design for expensive simulators with many Qualitative factors via Integer Programming
Yen-Chun Liu, Simon Mak
The need to explore and/or optimize expensive simulators with many qualitative factors arises in broad scientific and engineering problems. Our motivating application lies in path…