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Dat Phan Trong

2 accepted papers

2026

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models

ICLR 2026poster

Bayesian Optimization critically depends on the choice of acquisition function, but no single strategy is universally optimal; the best choice is non-stationary and problem-dependent. Existing adaptive portfolio methods often base their decisions on past function values while ignoring richer inform…

Cited by 0SourcecodeScholar
2025

Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks

UAI 2025

Optimizing expensive black-box functions under unknown constraints is a fundamental challenge across a range of real-world domains, such as hyperparameter tuning in machine learning, safe control in robotics, and material or drug discovery. In these settings, each function evaluation may be costly o