Jason M. Klusowski

Sharp Analysis of a Simple Model for Random Forests

2018 · arXiv (Cornell University)

Random forests have become an important tool for improving accuracy in regression and classification problems since their inception by Leo Breiman in 2001. In this paper, we revisit a historically important random forest model originally …

Robust Transfer Learning with Unreliable Source Data

2023 · arXiv (Cornell University)

This paper addresses challenges in robust transfer learning stemming from ambiguity in Bayes classifiers and weak transferable signals between the target and source distribution. We introduce a novel quantity called the ''ambiguity level'' that measures …