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Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based Inference
N. Dalmasso, L. Masserano, D. Zhao, Rafael Izbicki, A. B. Lee
June, 2024 Electronic Journal of Statistics
Preprint PDF
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
The paper introduces a novel approach to classifying events under generalized label shift by framing classification as hypothesis testing, which leads to valid uncertainty quantification. This is demonstrated through applications in biology and astroparticle physics.
L. Masserano, A. Shen, M. Doro, T. Dorigo, Rafael Izbicki, A. B. Lee
May, 2024 Proceedings of Machine Learning Research (ICML Track)
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Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
V. Dheur, T. Bosser, Rafael Izbicki, S. Ben Taieb
February, 2024 Machine Learning
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Is augmentation effective in improving prediction in imbalanced datasets?
G. O. Assunção, Rafael Izbicki, M. O. Prates
February, 2024 Machine Learning
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Local uncertainty maps for land-use/land-cover classification without remote sensing and modeling work using a class-conditional conformal approach
D. Valle, R. Leite, Rafael Izbicki, C. Silva, L. Haneda
January, 2024 International Journal of Applied Earth Observation and Geoinformation
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Adding Imprecision to Hypotheses: A Bayesian Framework for Testing Practical Significance in Nonparametric Settings
R. F. L. Lassance, Rafael Izbicki, R. B. Stern
January, 2024 International Journal of Approximate Reasoning
Flexible conditional density estimation for time series
G. Grivol, Rafael Izbicki, A. A. Okuno, R. B. Stern
January, 2024 Brazilian Journal of Probability and Statistics
Preprint
The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts
L. Nakazono, R. R. Valença, G. Soares, Rafael Izbicki, Ž. Ivezić
January, 2024 Monthly Notices of the Royal Astronomical Society
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Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
T. McNeely, G. Vincente, K. M. Wood, Rafael Izbicki, A. B. Lee
August, 2023 Annals of Applied Statistics (Selected for The Best of AOAS invited paper session at JSM 2023)
Preprint PDF
Classification under Prior Probability Shift in Simulator-Based Inference: Application to Atmospheric Cosmic-Ray Showers
A. Shen, L. Masserano, Rafael Izbicki, T. Dorigo, M. Doro, A. B. Lee
March, 2023 NeurIPS (Machine Learning and the Physical Sciences Workshop; Best Poster Award)
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