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stat.ME2026
Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
Shunxing Yan, Fang Yao
Functional data analysis is an important statistical field that treats data as random functions. In practice, the random functions are often not fully observed but instead measured…
cs.LG2026
Optimism Stabilizes Thompson Sampling for Adaptive Inference
Shunxing Yan, Han Zhong
Thompson sampling (TS) is widely used for stochastic multi-armed bandits, yet its inferential properties under adaptive data collection are subtle. Classical asymptotic theory for…