| 2026 | AIED | Territorial Fairness in Large-Scale Academic Risk Prediction: Comparing National and State-Level Machine Learning Models in Brazil. | Tobias Vieira Francisco, Ablio Nogueira Barros, Felipe Vieira Roque, Tiago Paulino, Augusto Schmidt, Flavia Galvani, Rafael Oliveira, Leonardo Brando Marques, Diego Dermeval, Pedro Barreto, Anita Gea Martinez Stefani, Marisa de Santana da Costa, Emanuel Marques Queiroga, Elthon A. S. Oliveira, Ig Ibert Bittencourt, Cristian Cechinel, Thales Vieira |
| 2025 | FOCS | Rank Bounds and PIT for depth-4 circuits with top fan-in 3 and constant bottom fan-in via a non-linear Edelstein-Kelly theorem. | Abhibhav Garg, Rafael Oliveira, Akash Kumar Sengupta |
| 2025 | ICLR | Variational Search Distributions. | Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla |
| 2025 | STOC | Primes via Zeros: Interactive Proofs for Testing Primality of Natural Classes of Ideals. | Abhibhav Garg, Rafael Oliveira, Nitin Saxena |
| 2024 | STOC | Strong Algebras and Radical Sylvester-Gallai Configurations. | Rafael Oliveira, Akash Kumar Sengupta |
| 2024 | UAI | Stein Random Feature Regression. | Houston Warren, Rafael Oliveira, Fabio T. Ramos |
| 2023 | HOTI | In-Network Compression for Accelerating IoT Analytics at Scale. | Rafael Oliveira, Ada Gavrilovska |
| 2023 | WorldCIST | Radiomics and Radiogenomics Platforms Integrating Machine Learning Techniques: A Review. | Rafael Oliveira, Beatriz Martinho, Ana Vieira, Nelson Pacheco da Rocha |
| 2022 | ACML | Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning. | Sayak Ray Chowdhury, Rafael Oliveira |
| 2022 | FOCS | Radical Sylvester-Gallai Theorem for Cubics. | Rafael Oliveira, Akash Kumar Sengupta |
| 2022 | ICRA | Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty. | Rel Guzman Apaza, Rafael Oliveira, Fabio Ramos |
| 2022 | UAI | Generalized Bayesian quadrature with spectral kernels. | Houston Warren, Rafael Oliveira, Fabio T. Ramos |
| 2021 | AISTATS | Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers. | Hadi Mohasel Afshar, Rafael Oliveira, Sally Cripps |
| 2021 | UAI | No-regret approximate inference via Bayesian optimisation. | Rafael Oliveira, Lionel Ott, Fabio Ramos |
| 2020 | ICRA | DISCO: Double Likelihood-free Inference Stochastic Control. | Lucas Barcelos, Rafael Oliveira, Rafael Possas, Lionel Ott, Fabio Ramos |
| 2020 | IROS | Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement. | Rafael Possas, Lucas Barcelos, Rafael Oliveira, Dieter Fox, Fabio Ramos |
| 2020 | ISSAC | Conditional lower bounds on the spectrahedral representation of explicit hyperbolicity cones. | Rafael Oliveira |
| 2020 | UAI | Active Learning of Conditional Mean Embeddings via Bayesian Optimisation. | Sayak Ray Chowdhury, Rafael Oliveira, Fabio Ramos |
| 2019 | AISTATS | Bayesian optimisation under uncertain inputs. | Rafael Oliveira, Lionel Ott, Fabio Ramos |
| 2018 | ICRA | Learning to Race Through Coordinate Descent Bayesian Optimisation. | Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott, Vitor Guizilini, Fabio Ramos, Valdir Grassi Jr. |
| 2017 | ISRR | Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty. | Rafael Oliveira, Lionel Ott, Vitor Guizilini, Fabio Ramos |
| 2014 | ICALP | Testing Equivalence of Polynomials under Shifts. | Zeev Dvir, Rafael Oliveira, Amir Shpilka |