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math.ST2026
Weak Convergence Rates for Partial-Sum Processes of Nonlinear Stochastic Approximation
Xiang Li, Jiadong Liang, Zhihua Zhang
Stochastic approximation provides a general framework for online estimation and optimization. Statistical inference based on the resulting estimates requires understanding their fl…
stat.ML2026
A Finite-Sample Analysis of Quantile Temporal-Difference Learning
Zijie Cheng, Xiang Li, Yang Peng +1
Quantile temporal-difference learning (QTD) is an effective method for learning return distributions through quantile approximation, yet its finite-time behavior remains poorly und…