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cs.LG2026
Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression
Rafael Izbicki, Pedro L. C. Rodrigues
Conditional density estimation (CDE) - recovering the full conditional distribution of a response given tabular covariates - is essential in settings with heteroscedasticity, multi…
cs.LG2025
DiNo and RanBu: Lightweight Predictions from Shallow Random Forests
Tiago Mendonça dos Santos, Rafael Izbicki, Luís Gustavo Esteves
Random Forest ensembles are a strong baseline for tabular prediction tasks, but their reliance on hundreds of deep trees often results in high inference latency and memory demands,…