collaborators

5 papers

stat.ML2026

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference

Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos +2

Current experimental scientists have been increasingly relying on simulation-based inference (SBI) to invert complex non-linear models with intractable likelihoods. However, poster…

stat.ML2026

Conformal Prediction via Transported Beta Laws

Thiago R. Ramos, Helton Graziadei, Luben M. C. Cabezas

Split conformal prediction provides finite-sample marginal coverage under exchangeability, but this guarantee averages over the random calibration sample. We study instead the law…

stat.ML2026

CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression

Luben M. C. Cabezas, Sabina J. Sloman, Bruno M. Resende +3

Conformal prediction delivers prediction intervals with distribution-free coverage, but its intervals can look overconfident in regions where the model is extrapolating, because st…

stat.ML2026

LoBoost: Fast Model-Native Local Conformal Prediction for Gradient-Boosted Trees

Vagner Santos, Victor Coscrato, Luben Cabezas +2

Gradient-boosted decision trees are among the strongest off-the-shelf predictors for tabular regression, but point predictions alone do not quantify uncertainty. Conformal predicti…

stat.ML2026

Conformal Prediction for Compositional Data

Lucas P. Amaral, Luben M. C. Cabezas, Thiago R. Ramos +1

Dirichlet regression models are suitable for compositional data, in which the response variable represents proportions that sum to one. However, there are still no well-established…