Oliveira, Rafael

17 publications

NeurIPS 2025 Amortized Active Generation of Pareto Sets Daniel M. Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla
NeurIPS 2025 Thompson Sampling in Function Spaces via Neural Operators Rafael Oliveira, Xuesong Wang, Kian Ming A. Chai, Edwin V. Bonilla
ICLR 2025 Variational Search Distributions Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla
NeurIPS 2025 Variational Transdimensional Inference Laurence Davies, Dan MacKinlay, Rafael Oliveira, Scott A Sisson
NeurIPS 2024 Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla
UAI 2024 Stein Random Feature Regression Houston Warren, Rafael Oliveira, Fabio Ramos
NeurIPSW 2024 Variational Search Distributions Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla
L4DC 2022 Adaptive Model Predictive Control by Learning Classifiers Rel Guzman, Rafael Oliveira, Fabio Ramos
NeurIPS 2022 Batch Bayesian Optimisation via Density-Ratio Estimation with Guarantees Rafael Oliveira, Louis Tiao, Fabio T Ramos
UAI 2022 Generalized Bayesian Quadrature with Spectral Kernels Houston Warren, Rafael Oliveira, Fabio Ramos
ACML 2022 Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning Sayak Ray Chowdhury, Rafael Oliveira
NeurIPSW 2022 Variance Reduction in Off-Policy Deep Reinforcement Learning Using Spectral Normalization Payal Bawa, Rafael Oliveira, Fabio Ramos
AISTATS 2021 Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps
UAI 2021 No-Regret Approximate Inference via Bayesian Optimisation Rafael Oliveira, Lionel Ott, Fabio Ramos
UAI 2020 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
NeurIPS 2020 Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning Anthony Tompkins, Rafael Oliveira, Fabio T Ramos
AISTATS 2019 Bayesian Optimisation Under Uncertain Inputs Rafael Oliveira, Lionel Ott, Fabio Ramos