4 papers
Matched-Pair Experimental Design with Active Learning
Weizhi Li, Gautam Dasarathy, Visar Berisha
Matched-pair experimental designs aim to detect treatment effects by pairing participants and comparing within-pair outcome differences. In many situations, the overall effect size…
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
Pavel Dolin, Weizhi Li, Gautam Dasarathy +1
This position paper argues that post-deployment monitoring in clinical AI is underdeveloped and proposes statistically valid and label-efficient testing frameworks as a principled…
Advanced Tutorial: Label-Efficient Two-Sample Tests
Weizhi Li, Visar Berisha, Gautam Dasarathy
Hypothesis testing is a statistical inference approach used to determine whether data supports a specific hypothesis. An important type is the two-sample test, which evaluates whet…
Learning Networks from Wide-Sense Stationary Stochastic Processes
Anirudh Rayas, Jiajun Cheng, Rajasekhar Anguluri +2
Complex networked systems driven by latent inputs are common in fields like neuroscience, finance, and engineering. A key inference problem here is to learn edge connectivity from…