Izbicki, Rafael

12 publications

UAI 2025 Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben Miguel Cruz Cabezas, Vagner Silva Santos, Thiago Ramos, Rafael Izbicki
AAAI 2025 PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification Alek Fröhlich, Thiago Ramos, Gustavo Motta Cabello Dos Santos, Isabela Panzeri Carlotti Buzatto, Rafael Izbicki, Daniel Guimarães Tiezzi
ICML 2024 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
MLJ 2024 Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes Victor Dheur, Tanguy Bosser, Rafael Izbicki, Souhaib Ben Taieb
AISTATS 2023 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 Lee
JMLR 2022 CD-Split and HPD-Split: Efficient Conformal Regions in High Dimensions Rafael Izbicki, Gilson Shimizu, Rafael B. Stern
UAI 2021 Diagnostics for Conditional Density Models and Bayesian Inference Algorithms David Zhao, Niccolò Dalmasso, Rafael Izbicki, Ann B. Lee
ICML 2020 Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting Niccolo Dalmasso, Rafael Izbicki, Ann Lee
AISTATS 2020 Flexible Distribution-Free Conditional Predictive Bands Using Density Estimators Rafael Izbicki, Gilson Shimizu, Rafael Stern
AISTATS 2020 Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations Niccolo Dalmasso, Ann Lee, Rafael Izbicki, Taylor Pospisil, Ilmun Kim, Chieh-An Lin
JMLR 2019 Quantification Under Prior Probability Shift: The Ratio Estimator and Its Extensions Afonso Fernandes Vaz, Rafael Izbicki, Rafael Bassi Stern
AISTATS 2014 High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation Rafael Izbicki, Ann B. Lee, Chad Schafer