2 papers
cs.LG2026
Vectorized Adaptive Histograms for Sparse Oblique Forests
Ariel Lubonja, Jungsang Yoon, Haoyin Xu +6
Classification using sparse oblique random forests provides guarantees on uncertainty and confidence while controlling for specific error types. However, they use more data and mor…
cs.LG2024
Generative Forests
Richard Nock, Mathieu Guillame-Bert
We focus on generative AI for a type of data that still represent one of the most prevalent form of data: tabular data. Our paper introduces two key contributions: a new powerful c…