Author

Xiaowei Zhang

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Preprint Sep 2026

Shrinking-Tube Concentration for Adaptive Markovian Stochastic Approximation

Adaptive algorithms increasingly make decisions while reshaping the dynamics that generate their future data. We establish a shrinking-tube concentration bound for projected stochastic approximation driven by an adaptive Markov chain. The bound guarantees, with high probability, that every iterate after a chosen time r...

Jin Li, Ye Luo, Xiao-Wei Zhang · 0 citations

Preprint Jul 2026

Agent-UCT: Upper Confidence Bounds Applied to Trees for Agentic Workflow Optimization with Cost-Awareness

This work introduces Agent-UCT, a tree search algorithm that extends UCT with a reuse-aware regularization term derived from a bipartite prefix reuse graph, and RAGSpace, a unified framework for cost-aware, reproducible, and compositionally efficient agentic workflow optimization.

Yang Li, Hai Liu, Dian Shao et al. · 0 citations