10 citations · 15 across the 15 of their papers we have counts for
3 papers · 2 filters
Sparse Spectrum Gaussian Process for Bayesian Optimization
Ang Yang, Cheng Li, Santu Rana +2
We propose a novel sparse spectrum approximation of Gaussian process (GP) tailored for Bayesian optimization. Whilst the current sparse spectrum methods provide desired approximati…
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives
Tinu Theckel Joy, Santu Rana, Sunil Gupta +1
In this paper we develop a Bayesian optimization based hyperparameter tuning framework inspired by statistical learning theory for classifiers. We utilize two key facts from PAC le…
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah, Alistair Shilton, Santu Rana +2
We present a multi-objective Bayesian optimisation algorithm that allows the user to express preference-order constraints on the objectives of the type "objective A is more importa…