most citedEfficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2025

Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators

Mingming Zhao, Xiaokang Wei, Yuanqi Shao +5

Large language models (LLMs) have shown strong potential in automating the design of agentic workflows. However, existing methods still rely heavily on manually predefined operator…

cs.LG2023★ 1 cited

Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs

Lin Yang, Junlong Lyu, Wenlong Lyu +1

Bayesian Optimization (BO) is a sample-efficient optimization algorithm widely employed across various applications. In some challenging BO tasks, input uncertainty arises due to t…