Rafael Oliveira

37 papers A* 7A 7C 2Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Amortized Active Generation of Pareto Sets. CoRR Daniel M. Steinberg, Asiri Wijesinghe, Rafael Oliveira, Piotr Koniusz, Cheng Soon Ong, Edwin V. Bonilla
2025	J	`jnl`	Generative Bayesian Optimization: Generative Models as Acquisition Functions. CoRR Rafael Oliveira, Daniel M. Steinberg, Edwin V. Bonilla
2025	J	`jnl`	Thompson Sampling in Function Spaces via Neural Operators. CoRR Rafael Oliveira, Xuesong Wang, Kian Ming Adam Chai, Edwin V. Bonilla
2025	A*	`conf`	Variational Search Distributions. ICLR Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla
2024	A*	`conf`	Bayesian Adaptive Calibration and Optimal Design. NeurIPS Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla
2024	J	`jnl`	Bayesian Adaptive Calibration and Optimal Design. CoRR Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla
2024	A	`conf`	Stein Random Feature Regression. UAI Houston Warren, Rafael Oliveira, Fabio T. Ramos
2024	J	`jnl`	Stein Random Feature Regression. CoRR Houston Warren, Rafael Oliveira, Fabio Ramos
2024	J	`jnl`	Variational Search Distributions. CoRR Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla
2023	J	`jnl`	Path Signatures for Diversity in Probabilistic Trajectory Optimisation. CoRR Lucas Barcelos, Tin Lai, Rafael Oliveira, Paulo V. K. Borges, Fabio Ramos
2022	—	`conf`	Adaptive Model Predictive Control by Learning Classifiers. L4DC Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022	J	`jnl`	Adaptive Model Predictive Control by Learning Classifiers. CoRR Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022	A*	`conf`	Batch Bayesian optimisation via density-ratio estimation with guarantees. NeurIPS Rafael Oliveira, Louis C. Tiao, Fabio T. Ramos
2022	J	`jnl`	Batch Bayesian optimisation via density-ratio estimation with guarantees. CoRR Rafael Oliveira, Louis C. Tiao, Fabio Ramos
2022	A*	`conf`	Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. ICRA Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022	J	`jnl`	Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. CoRR Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2022	A	`conf`	Generalized Bayesian quadrature with spectral kernels. UAI Houston Warren, Rafael Oliveira, Fabio T. Ramos
2022	C	`conf`	Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. ACML Sayak Ray Chowdhury, Rafael Oliveira
2021	—	`conf`	Dual Online Stein Variational Inference for Control and Dynamics. Robotics: Science and Systems Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos
2021	J	`jnl`	Dual Online Stein Variational Inference for Control and Dynamics. CoRR Lucas Barcelos, Alexander Lambert, Rafael Oliveira, Paulo V. K. Borges, Byron Boots, Fabio Ramos
2021	J	`jnl`	Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. IEEE Robotics Autom. Lett. Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2021	A	`conf`	No-regret approximate inference via Bayesian optimisation. UAI Rafael Oliveira, Lionel Ott, Fabio Ramos
2021	A	`conf`	Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers. AISTATS Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps
2020	A	`conf`	Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. UAI Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos
2020	A*	`conf`	DISCO: Double Likelihood-free Inference Stochastic Control. ICRA Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020	J	`jnl`	DISCO: Double Likelihood-free Inference Stochastic Control. CoRR Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos
2020	J	`jnl`	Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control. CoRR Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos
2020	J	`jnl`	No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach. CoRR Sayak Ray Chowdhury, Rafael Oliveira
2020	A	`conf`	Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. IROS Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos
2020	A*	`conf`	Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. NeurIPS Anthony Tompkins, Rafael Oliveira, Fabio T. Ramos
2020	J	`jnl`	Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. CoRR Anthony Tompkins, Rafael Oliveira, Fabio Ramos
2019	A	`conf`	Bayesian optimisation under uncertain inputs. AISTATS Rafael Oliveira, Lionel Ott, Fabio Ramos
2019	J	`jnl`	Bayesian optimisation under uncertain inputs. CoRR Rafael Oliveira, Lionel Ott, Fabio Ramos
2018	A*	`conf`	Learning to Race Through Coordinate Descent Bayesian Optimisation. ICRA Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2018	J	`jnl`	Learning to Race through Coordinate Descent Bayesian Optimisation. CoRR Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr.
2017	C	`conf`	Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. ISRR Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos
2017	J	`jnl`	Bayesian Optimisation for Safe Navigation under Localisation Uncertainty. CoRR Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos