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Rafael Izbicki
Scholar

Rafael Izbicki

Google Scholar ID: IldCv5AAAAAJ
Federal University of São Carlos
StatisticsMachine LearningNonparametric MethodsHigh-dimensional InferenceData Science
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
2,164
 
H-index
27
 
i10-index
46
 
Publications
20
 
Co-authors
73
list available
Publications
15 items
ReCIRC: Rectified Conformal Risk Control
2026
Cited
0
A Three-Way Testing Framework for Quantifying Epistemic Calibration Uncertainty in SBI
2026
Cited
0
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
2026
Cited
0
Trustworthy predictive distributions for rare events via diagnostic transport maps
2026
Cited
0
CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression
2026
Cited
0
LOCUS: A Distribution-Free Loss-Quantile Score for Risk-Aware Predictions
2026
Cited
0
LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees
2026
Cited
0
DiNo and RanBu: Lightweight Predictions from Shallow Random Forests
2025
Cited
0
Co-authors
5 total
Ann B. Lee
Ann B. Lee
Department of Statistics & Data Science and the Machine Learning Department, Carnegie Mellon
Julio Michael Stern
Julio Michael Stern
Professor of Applied Mathematics, University of Sao Paulo
Niccolò Dalmasso
Niccolò Dalmasso
J.P. Morgan AI Research
Luca Masserano
Luca Masserano
Research Scientist, Meta
Tommaso Dorigo
Tommaso Dorigo
First Researcher, INFN - Sezione di Padova