Poompol Buathong — accepted AI-conference papers

2024

Bayesian Optimization of Function Networks with Partial Evaluations

Poompol Buathong, Jiayue Wan, Raul Astudillo, Sam Daulton, Maximilian Balandat, Peter I. Frazier

ICML 2024poster

Bayesian optimization is a powerful framework for optimizing functions that are expensive or time-consuming to evaluate. Recent work has considered Bayesian optimization of function networks (BOFN), where the objective function is given by a network of functions, each taking as input the output of p…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2020

Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization

Poompol Buathong, David Ginsbourger, Tipaluck Krityakierne

AISTATS 2020poster

We focus on kernel methods for set-valued inputs and their application to Bayesian set optimization, notably combinatorial optimization. We investigate two classes of set kernels that both rely on Reproducing Kernel Hilbert Space embeddings, namely the "Double Sum" (DS) kernels recently considered i…

Cited by 27 Source ↗PDF ↗Scholar ↗