Rafael Oliveira

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Dempster Shafer

Variational Inference

Function Approximation

Model Predictive Control

Top Venues

Publications

Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin Bonilla
Bayesian Adaptive Calibration and Optimal Design. CoRR (2024)
Houston Warren, Rafael Oliveira, Fabio Ramos
Stein Random Feature Regression. CoRR (2024)
Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo Borges, Fabio Ramos
Path Signatures for Diversity in Probabilistic Trajectory Optimisation. CoRR (2023)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. CoRR (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Adaptive Model Predictive Control by Learning Classifiers. CoRR (2022)
Rafael Oliveira, Louis C. Tiao, Fabio Ramos
Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Adaptive Model Predictive Control by Learning Classifiers. L4DC (2022)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. ICRA (2022)
Sayak Ray Chowdhury, Rafael Oliveira
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML (2022)
Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos
Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS (2022)
Houston Warren, Rafael Oliveira, Fabio T. Ramos
Generalized Bayesian quadrature with spectral kernels. UAI (2022)
Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers. AISTATS (2021)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. IEEE Robotics Autom. Lett. 6 (1) (2021)
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos
Dual Online Stein Variational Inference for Control and Dynamics. CoRR (2021)
Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo Borges, Byron Boots, Fabio Ramos
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems (2021)
Rafael Oliveira, Lionel Ott, Fabio Ramos
No-regret approximate inference via Bayesian optimisation. UAI (2021)
Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. CoRR (2020)
Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. IROS (2020)
Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI (2020)
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
DISCO: Double Likelihood-free Inference Stochastic Control. ICRA (2020)
Sayak Ray Chowdhury, Rafael Oliveira
No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. CoRR (2020)
Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. NeurIPS (2020)
Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
DISCO: Double Likelihood-free Inference Stochastic Control. CoRR (2020)
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR (2020)
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation under uncertain inputs. AISTATS (2019)
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation under uncertain inputs. CoRR (2019)
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA (2018)
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR (2018)
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR (2017)
Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR (2017)