Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. - Rafael Oliveira 001; Lionel Ott; Vitor Guizilini; Fabio Ramos 001 (ISRR, 2017)

Learning to Race Through Coordinate Descent Bayesian Optimisation. - Rafael Oliveira 001; Fernando H. M. Rocha; Lionel Ott; Vitor Guizilini; Fabio Ramos 001; Valdir Grassi Jr. (ICRA, 2018)

Bayesian optimisation under uncertain inputs. - Rafael Oliveira 001; Lionel Ott; Fabio Ramos 001 (AISTATS, 2019)

DISCO: Double Likelihood-free Inference Stochastic Control. - Lucas Barcelos; Rafael Oliveira 001; Rafael Possas; Lionel Ott; Fabio Ramos 001 (ICRA, 2020)

Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. - Rafael Possas; Lucas Barcelos; Rafael Oliveira 001; Dieter Fox; Fabio Ramos 001 (IROS, 2020)

Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. - Anthony Tompkins; Rafael Oliveira 001; Fabio T. Ramos 001 (NeurIPS, 2020)

Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. - Sayak Ray Chowdhury; Rafael Oliveira 001; Fabio Ramos 001 (UAI, 2020)

No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. - Sayak Ray Chowdhury; Rafael Oliveira 001 (CoRR, 2020)

Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers. - Hadi Mohasel Afshar; Rafael Oliveira 001; Sally Cripps (AISTATS, 2021)

Dual Online Stein Variational Inference for Control and Dynamics. - Lucas Barcelos; Alexander Lambert; Rafael Oliveira 001; Paulo V. K. Borges; Byron Boots; Fabio Ramos 001 (Robotics: Science and Systems, 2021)

No-regret approximate inference via Bayesian optimisation. - Rafael Oliveira 001; Lionel Ott; Fabio Ramos 001 (UAI, 2021)

Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. - Rel Guzman Apaza; Rafael Oliveira 001; Fabio Ramos 001 (IEEE Robotics Autom. Lett., 2021)

Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. - Sayak Ray Chowdhury; Rafael Oliveira 001 (ACML, 2022)

Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. - Rel Guzman Apaza; Rafael Oliveira 001; Fabio Ramos 001 (ICRA, 2022)

Adaptive Model Predictive Control by Learning Classifiers. - Rel Guzman Apaza; Rafael Oliveira 001; Fabio Ramos 001 (L4DC, 2022)

Batch Bayesian optimisation via density-ratio estimation with guarantees. - Rafael Oliveira 001; Louis C. Tiao; Fabio T. Ramos 001 (NeurIPS, 2022)

Generalized Bayesian quadrature with spectral kernels. - Houston Warren; Rafael Oliveira 001; Fabio T. Ramos 001 (UAI, 2022)

Path Signatures for Diversity in Probabilistic Trajectory Optimisation. - Lucas Barcelos; Tin Lai; Rafael Oliveira 001; Paulo V. K. Borges; Fabio Ramos 001 (CoRR, 2023)

Bayesian Adaptive Calibration and Optimal Design. - Rafael Oliveira 001; Dino Sejdinovic; David Howard; Edwin V. Bonilla (NeurIPS, 2024)

Stein Random Feature Regression. - Houston Warren; Rafael Oliveira 001; Fabio T. Ramos 001 (UAI, 2024)

Variational Search Distributions. - Daniel M. Steinberg; Rafael Oliveira 001; Cheng Soon Ong; Edwin V. Bonilla (ICLR, 2025)

Thompson Sampling in Function Spaces via Neural Operators. - Rafael Oliveira 001; Xuesong Wang; Kian Ming Adam Chai; Edwin V. Bonilla (CoRR, 2025)