5 citations · 5 across the 1 of their papers we have counts for
3 papers
cs.LG2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
Shali Jiang, Henry Chai, Javier Gonzalez +1
Finite-horizon sequential experimental design (SED) arises naturally in many contexts, including hyperparameter tuning in machine learning among more traditional settings. Computin…
cs.LG2019★ 5 cited
Automated Model Selection with Bayesian Quadrature
Henry Chai, Jean-Francois Ton, Roman Garnett +1
We present a novel technique for tailoring Bayesian quadrature (BQ) to model selection. The state-of-the-art for comparing the evidence of multiple models relies on Monte Carlo met…
cs.LG2018
Improving Quadrature for Constrained Integrands
Henry Chai, Roman Garnett
We present an improved Bayesian framework for performing inference of affine transformations of constrained functions. We focus on quadrature with nonnegative functions, a common t…