Search Results for author: Jixiang Qing

Found 2 papers, 2 papers with code

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow

2 code implementations • 16 Feb 2023 • Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S Loka, Ivo Couckuyt

We present Trieste, an open-source Python package for Bayesian optimization and active learning benefiting from the scalability and efficiency of TensorFlow.

Active Learning Bayesian Optimization +2

207

Paper
Code

$\{\text{PF}\}^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization

1 code implementation • 11 Apr 2022 • Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

We present Parallel Feasible Pareto Frontier Entropy Search ($\{\text{PF}\}^2$ES) -- a novel information-theoretic acquisition function for multi-objective Bayesian optimization supporting unknown constraints and batch query.

Bayesian Optimization

Paper
Code

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