ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics. - Daniel Csillag; Carolina Piazza; Thiago Ramos; João Vitor Romano; Roberto I. Oliveira 001; Paulo Orenstein (AISTATS, 2022)

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. - Daniel Csillag; Lucas Monteiro Paes; Thiago Ramos; João Vitor Romano; Rodrigo Schuller; Roberto de Beauclair Seixas; Roberto I. Oliveira 001; Paulo Orenstein (AAAI, 2023)

Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis. - Daniel Csillag; Cláudio José Struchiner; Guilherme Tegoni Goedert (ICML, 2024)

Strategic Conformal Prediction. - Daniel Csillag; Cláudio José Struchiner; Guilherme Tegoni Goedert (AISTATS, 2025)

Prediction-Powered E-Values. - Daniel Csillag; Cláudio José Struchiner; Guilherme Tegoni Goedert (CoRR, 2025)

Image Super-Resolution with Guarantees via Conformal Generative Models. - Eduardo Adame; Daniel Csillag; Guilherme Tegoni Goedert (CoRR, 2025)