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ORCIDRafael Oliveira 0001
Person information
- affiliation: CSIRO, Data61, Australia
- affiliation (PhD 2018): University of Sydney, School of Computer Science, NSW, Australia
Other persons with the same name
- Rafael Oliveira — disambiguation page
- Rafael Oliveira 0002
![[0000-0001-8917-8689]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8917-8689")
(aka: Rafael Mendes de Oliveira) — University of Waterloo, ON, Canada (and 1 more) - Rafael Oliveira 0003 — Federal University of Pará, Belém, Brazil
- Rafael Oliveira 0004 — Federal University of Pernambuco, Brazil
- Rafael Oliveira 0005 — University of Toronto, Department of Electrical and Computer Engineering, Toronto, ON, Canada (and 1 more)
- Rafael Oliveira 0007 (aka: Rafael Franco Soares Oliveira) — Rio Maior Polytechnic, Sports Science School, Portugal (and 2 more)
- Rafael Alves Paes de Oliveira (aka: Rafael A. P. Oliveira, Rafael Oliveira 0008) — Federal Technological University of Paraná, Brazil
- Rafael Oliveira 0009 — Universidade Federal do ABC, São Bernardo do Campo, Brazil
- Rafael Oliveira 0010 (aka: Rafael Cardoso de Oliveira) — Instituto Politécnico de Bragança, Research Centre in Digitalization and Intelligent Robotics (CeDRI), Bragança, Portugal
- Rafael Oliveira 0011 — Georgia Institute of Technology, Atlanta, GA, USA
- Rafael Oliveira 0012 — Universidade de Aveiro, Departamento de Electrónica, Telecomunicaçoes e Informática, Aveiro, Portugal
- Rafael Oliveira 0013 — University of Aveiro, Department of Medical Sciences, Aveiro, Portugal
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Journal Articles
- 2021
[j1]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. IEEE Robotics Autom. Lett. 6(1): 56-63 (2021)
Conference and Workshop Papers
- 2025
- [c18]Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla:
Variational Search Distributions. ICLR 2025 - 2024
- [c17]Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla:
Bayesian Adaptive Calibration and Optimal Design. NeurIPS 2024 - [c16]Houston Warren, Rafael Oliveira, Fabio T. Ramos:
Stein Random Feature Regression. UAI 2024: 3666-3688 - 2022
- [c15]Sayak Ray Chowdhury, Rafael Oliveira:
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML 2022: 249-264 - [c14]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. ICRA 2022: 5539-5545 - [c13]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Adaptive Model Predictive Control by Learning Classifiers. L4DC 2022: 480-491 - [c12]Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos:
Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS 2022 - [c11]Houston Warren, Rafael Oliveira, Fabio T. Ramos:
Generalized Bayesian quadrature with spectral kernels. UAI 2022: 2085-2095 - 2021
- [c10]Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps:
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers. AISTATS 2021: 1675-1683 - [c9]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems 2021 - [c8]Rafael Oliveira, Lionel Ott, Fabio Ramos:
No-regret approximate inference via Bayesian optimisation. UAI 2021: 2082-2092 - 2020
- [c7]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. ICRA 2020: 10969-10975 - [c6]Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos:
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. IROS 2020: 5445-5452 - [c5]Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. NeurIPS 2020 - [c4]Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos:
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI 2020: 1119-1128 - 2019
- [c3]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. AISTATS 2019: 1177-1184 - 2018
- [c2]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: 6431-6438 - 2017
- [c1]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR 2017: 489-504
Informal and Other Publications
- 2024
- [i15]Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla:
Bayesian Adaptive Calibration and Optimal Design. CoRR abs/2405.14440 (2024) - [i14]Houston Warren, Rafael Oliveira, Fabio Ramos:
Stein Random Feature Regression. CoRR abs/2406.00438 (2024) - [i13]Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla:
Variational Search Distributions. CoRR abs/2409.06142 (2024) - 2023
- [i12]Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo V. K. Borges, Fabio Ramos:
Path Signatures for Diversity in Probabilistic Trajectory Optimisation. CoRR abs/2308.04071 (2023) - 2022
- [i11]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. CoRR abs/2203.00551 (2022) - [i10]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Adaptive Model Predictive Control by Learning Classifiers. CoRR abs/2203.06783 (2022) - [i9]Rafael Oliveira, Louis C. Tiao, Fabio Ramos:
Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR abs/2209.10715 (2022) - 2021
- [i8]Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos:
Dual Online Stein Variational Inference for Control and Dynamics. CoRR abs/2103.12890 (2021) - 2020
- [i7]Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos:
DISCO: Double Likelihood-free Inference Stochastic Control. CoRR abs/2002.07379 (2020) - [i6]Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos:
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. CoRR abs/2010.00202 (2020) - [i5]Anthony Tompkins, Rafael Oliveira, Fabio Ramos:
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR abs/2010.04315 (2020) - [i4]Sayak Ray Chowdhury, Rafael Oliveira:
No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. CoRR abs/2011.07881 (2020) - 2019
- [i3]Rafael Oliveira, Lionel Ott, Fabio Ramos:
Bayesian optimisation under uncertain inputs. CoRR abs/1902.07908 (2019) - 2018
- [i2]Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.:
Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR abs/1802.06179 (2018) - 2017
- [i1]Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos:
Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR abs/1709.02169 (2017)
Coauthor Index
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