| 2025 | AAAI | PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification. | Alek Frhlich, Thiago R. Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimares Tiezzi |
| 2025 | UAI | Epistemic Uncertainty in Conformal Scores: A Unified Approach. | Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos, Rafael Izbicki |
| 2024 | ICML | Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference. | Luca Masserano, Alexander Shen, Michele Doro, Tommaso Dorigo, Rafael Izbicki, Ann B. Lee |
| 2023 | AISTATS | Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems. | Luca Masserano, Tommaso Dorigo, Rafael Izbicki, Mikael Kuusela, Ann B. Lee |
| 2021 | UAI | Diagnostics for conditional density models and Bayesian inference algorithms. | David Zhao, Niccol Dalmasso, Rafael Izbicki, Ann B. Lee |
| 2020 | AISTATS | Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. | Niccol Dalmasso, Ann B. Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin |
| 2020 | AISTATS | Flexible distribution-free conditional predictive bands using density estimators. | Rafael Izbicki, Gilson Y. Shimizu, Rafael Bassi Stern |
| 2020 | ICML | Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting. | Niccol Dalmasso, Rafael Izbicki, Ann B. Lee |
| 2014 | AISTATS | High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation. | Rafael Izbicki, Ann B. Lee, Chad Schafer |