| Bayesian optimisation under uncertain inputs R Oliveira, L Ott, F Ramos 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 39 | 2019 |
| Bayesian Optimisation for Safe Navigation under Localisation Uncertainty R Oliveira, L Ott, V Guizilini, F Ramos Robotics Research, 489-504, 2020 | 16 | 2020 |
| Dual Online Stein Variational Inference for Control and Dynamics L Barcelos, A Lambert, R Oliveira, P Borges, B Boots, F Ramos Robotics: Science and Systems, 2021 | 12 | 2021 |
| DISCO: Double Likelihood-free Inference Stochastic Control L Barcelos, R Oliveira, R Possas, L Ott, F Ramos IEEE International Conference on Robotics and Automation (ICRA 2020), 2020 | 12 | 2020 |
| Non-Volume Preserving Hamiltonian Monte Carlo and No-U-Turn Samplers HM Afshar, R Oliveira, S Cripps International Conference on Artificial Intelligence and Statistics, 1675-1683, 2021 | 10 | 2021 |
| Learning to Race through Coordinate Descent Bayesian Optimisation R Oliveira, FHM Rocha, L Ott, V Guizilini, F Ramos, V Grassi 2018 IEEE International Conference on Robotics and Automation (ICRA), 6431-6438, 2018 | 10 | 2018 |
| Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement R Possas, L Barcelos, R Oliveira, D Fox, F Ramos 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 | 9 | 2020 |
| No-Regret Reinforcement Learning with Value Function Approximation: a Kernel Embedding Approach SR Chowdhury, R Oliveira arXiv preprint arXiv:2011.07881, 2020 | 8 | 2020 |
| Active Perception for Modelling Energy Consumption in Off-Road Navigation R Oliveira, L Ott, F Ramos Australasian Conference on Robotics and Automation (ACRA), 2016 | 7 | 2016 |
| Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control R Guzman, R Oliveira, F Ramos IEEE Robotics and Automation Letters 6 (1), 56-63, 2021 | 5 | 2021 |
| Active Learning of Conditional Mean Embeddings via Bayesian Optimisation SR Chowdhury, R Oliveira, F Ramos 36th Conference on Uncertainty in Artificial Intelligence (UAI), 2020 | 4 | 2020 |
| No-Regret Approximate Inference via Bayesian Optimisation R Oliveira, L Ott, F Ramos 37th Conference on Uncertainty in Artificial Intelligence (UAI), 2021 | 2 | 2021 |
| Generalized Bayesian quadrature with spectral kernels H Warren, R Oliveira, F Ramos Uncertainty in Artificial Intelligence, 2085-2095, 2022 | 1 | 2022 |
| Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning A Tompkins, R Oliveira, F Ramos 34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 1 | 2020 |
| Distributional Bayesian optimisation for variational inference on black-box simulators R Oliveira, L Ott, F Ramos 2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019), 2019 | 1 | 2019 |
| Leveraging Localisation Information into Bayesian Optimisation for Planning in Robotics R Oliveira, L Ott, V Guizilini, F Ramos Workshop on Informative Path Planning and Adaptive Sampling (WIPPAS) at the …, 2018 | 1 | 2018 |
| Batch Bayesian optimisation via density-ratio estimation with guarantees R Oliveira, L Tiao, F Ramos arXiv preprint arXiv:2209.10715, 2022 | | 2022 |
| Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty R Guzman, R Oliveira, F Ramos 2022 International Conference on Robotics and Automation (ICRA), 5539-5545, 2022 | | 2022 |
| Adaptive Model Predictive Control by Learning Classifiers R Guzman, R Oliveira, F Ramos Learning for Dynamics and Control Conference, 480-491, 2022 | | 2022 |
| Variance Reduction in Off-Policy Deep Reinforcement Learning using Spectral Normalization P Bawa, R Oliveira, F Ramos Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | | 2022 |
Fabio RamosUniversity of Sydney and NVIDIAVerified email at sydney.edu.au
