19 citations · 29 across the 10 of their papers we have counts for
5 papers · 1 filter
Stein Random Feature Regression
Houston Warren, Rafael Oliveira, Fabio Ramos
In large-scale regression problems, random Fourier features (RFFs) have significantly enhanced the computational scalability and flexibility of Gaussian processes (GPs) by defining…
Batch Bayesian optimisation via density-ratio estimation with guarantees
Rafael Oliveira, Louis Tiao, Fabio Ramos
Bayesian optimisation (BO) algorithms have shown remarkable success in applications involving expensive black-box functions. Traditionally BO has been set as a sequential decision-…
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning
Sayak Ray Chowdhury, Rafael Oliveira
We consider the regret minimization problem in reinforcement learning (RL) in the episodic setting. In many real-world RL environments, the state and action spaces are continuous o…
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
We establish a general form of explicit, input-dependent, measure-valued warpings for learning nonstationary kernels. While stationary kernels are ubiquitous and simple to use, the…
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation (BO) has been a successful approach to optimise functions which are expensive to evaluate and whose observations are noisy. Classical BO algorithms, however,…