Kirthevasan Kandasamy

nasbot. Neural Architecture Search with Bayesian Optimisation and Optimal Transport

mf-gp-ucb. Multi-fidelity Gaussian Process Bandit Optimisation

gp-parallel-ts. Parallelised Thompson Sampling in GPs for Bayesian Optimisation

add-gp-bandits. Additive Gaussian Process Bandits - version 1.0

if-estimators. Estimators for Information Theoretic Functionals using Influence Functions

salsa. SALSA: Additive approximations in high dimensional nonparametric regression.

mps. Myopic Posterior Sampling for Adaptive Bayesian Design of Experiments

dragonfly. An open source python library for scalable Bayesian optimisation.

local-poly-reg. Matlab implementation of Locally polynomial regression using Gaussian and Legendre kernels

dragonfly_chemist. DOE framework for joint molecular optimization and synthesis