Rafael Oliveira

According to our database, Rafael Oliveira authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Variational Search Distributions.

Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla

CoRR, 2024

Stein Random Feature Regression.

Houston Warren, Rafael Oliveira, Fabio Ramos

CoRR, 2024

Bayesian Adaptive Calibration and Optimal Design.

Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla

CoRR, 2024

2023

Path Signatures for Diversity in Probabilistic Trajectory Optimisation.

Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo V. K. Borges, Fabio Ramos

CoRR, 2023

2022

Generalized Bayesian quadrature with spectral kernels.

Houston Warren, Rafael Oliveira, Fabio T. Ramos

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Batch Bayesian optimisation via density-ratio estimation with guarantees.

Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Model Predictive Control by Learning Classifiers.

Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos

Proceedings of the Learning for Dynamics and Control Conference, 2022

Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty.

Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning.

Sayak Ray Chowdhury, Rafael Oliveira

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control.

Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos

IEEE Robotics Autom. Lett., 2021

No-regret approximate inference via Bayesian optimisation.

Rafael Oliveira, Lionel Ott, Fabio Ramos

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Dual Online Stein Variational Inference for Control and Dynamics.

Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers.

Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach.

Sayak Ray Chowdhury, Rafael Oliveira

CoRR, 2020

Active Learning of Conditional Mean Embeddings via Bayesian Optimisation.

Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.

Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement.

Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DISCO: Double Likelihood-free Inference Stochastic Control.

Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Bayesian optimisation under uncertain inputs.

Rafael Oliveira, Lionel Ott, Fabio Ramos

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learning to Race Through Coordinate Descent Bayesian Optimisation.

Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.

Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos

Proceedings of the Robotics Research, The 18th International Symposium, 2017