Rafael Izbicki
Orcid: 0000-0003-0379-9690
According to our database1,
Rafael Izbicki
authored at least 47 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Adding imprecision to hypotheses: A Bayesian framework for testing practical significance in nonparametric settings.
Int. J. Approx. Reason., 2025
2024
Distribution-free conformal joint prediction regions for neural marked temporal point processes.
Mach. Learn., September, 2024
PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification.
CoRR, 2024
Local uncertainty maps for land-use/land-cover classification without remote sensing and modeling work using a class-conditional conformal approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Appl. Soft Comput., July, 2023
Neural Networks, May, 2023
Int. J. Approx. Reason., 2023
CoRR, 2023
Simulator-Based Inference with WALDO: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
J. Mach. Learn. Res., 2022
CoRR, 2022
CoRR, 2022
Simulation-Based Inference with WALDO: Perfectly Calibrated Confidence Regions Using Any Prediction or Posterior Estimation Algorithm.
CoRR, 2022
CoRR, 2022
2021
Distance assessment and analysis of high-dimensional samples using variational autoencoders.
Inf. Sci., 2021
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression.
CoRR, 2021
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones.
CoRR, 2021
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning in Simulation and Uncertainty Quantification.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
2020
Neurocomputing, 2020
Commun. Stat. Simul. Comput., 2020
Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference.
Astron. Comput., 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
J. Oper. Res. Soc., 2019
Quantification Under Prior Probability Shift: the Ratio Estimator and its Extensions.
J. Mach. Learn. Res., 2019
Distance Assessment and Hypothesis Testing of High-Dimensional Samples using Variational Autoencoders.
CoRR, 2019
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2017
Log. J. IGPL, 2017
2016
2015
Entropy, 2015
2014
High-Dimensional Density Ratio Estimation with Extensions to Approximate Likelihood Computation.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Stat. Anal. Data Min., 2013