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math.ST2026
Assumption-lean weak limits and tests for two-stage adaptive experiments
Ziang Niu, Zhimei Ren
Adaptive experiments are becoming increasingly popular in real-world applications for effectively maximizing in-sample welfare and efficiency by data-driven sampling. Despite their…
math.ST2026
Optimal training-conditional regret for online conformal prediction
Jiadong Liang, Zhimei Ren, Yuxin Chen
We study online conformal prediction for non-stationary data streams subject to unknown distribution drift. While most prior work studied this problem under adversarial settings an…