Regression Trees

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
L. M. C. Cabezas, V. S. Santos, T. R. Ramos, P. L. C. Rodrigues, Rafael Izbicki
April, 2026 Philosophical Transactions of the Royal Society A
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Conformal Calibration of Statistical Confidence Sets
L. M. C. Cabezas, G. P. Soares, T. R. Ramos, R. B. Stern, Rafael Izbicki
April, 2026 Transactions on Machine Learning Research
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Epistemic Uncertainty in Conformal Scores: A Unified Approach
WE introduce EPICSCORE, a model-agnostic method that enhances conformal prediction by integrating epistemic uncertainty. Compatible with any Bayesian model and maintaining distribution-free guarantees, EPICSCORE adapts prediction intervals based on data availability, achieving both finite-sample marginal and asymptotic conditional coverage.
L. M. C. Cabezas, V. S. Santos, T. R. Ramos, Rafael Izbicki
May, 2025 Proceedings of Machine Learning Research (UAI Track; Oral Presentation)
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Epistemic Uncertainty in Conformal Scores: A Unified Approach
Regression Trees for Fast and Adaptive Prediction Intervals
L. M. C. Cabezas, M. P. Otto, Rafael Izbicki, R. B. Stern
February, 2025 Information Sciences
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