2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
Donney Fan, Geoff Pleiss
In Bayesian optimization, Thompson sampling selects the evaluation point by sampling from the posterior distribution over the objective function maximizer. Because this sampling pr…
cs.LG2026★ 2 cited
We Still Don't Understand High-Dimensional Bayesian Optimization
Colin Doumont, Donney Fan, Natalie Maus +3
Existing high-dimensional Bayesian optimization (BO) methods aim to overcome the curse of dimensionality by carefully encoding structural assumptions, from locality to sparsity to…