Jixiang Qing

activity

20222026

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

21 citations · 22 across the 6 of their papers we have counts for

collaborators

Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights

Jixiang Qing, Henry Moss, Matthias Sachs

We consider the active learning problem where the goal is to learn an unknown function with low prediction error under an unknown Boltzmann distribution induced by the function its…

cs.LG2024★ 1 cited

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization

Jixiang Qing, Becky D Langdon, Robert M Lee +4

We consider the problem of optimizing initial conditions and termination time in dynamical systems governed by unknown ordinary differential equations (ODEs), where evaluating diff…

cs.LG2022

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

Jixiang Qing, Henry B. Moss, Tom Dhaene +1

We present Parallel Feasible Pareto Frontier Entropy Search ( ${PF}^{2}$ ES) -- a novel information-theoretic acquisition function for multi-objective Bayesian optimization su…

Active Learning for Gaussian Process Regression Under Self-Induced Boltzmann Weights

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization

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

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