Amichai Painsky

Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection

2021 · arXiv (Cornell University)

Gradient Boosting Machines (GBM) are among the go-to algorithms on tabular data, which produce state of the art results in many prediction tasks. Despite its popularity, the GBM framework suffers from a fundamental flaw in …

Neural Joint Entropy Estimation

2020 · arXiv (Cornell University)

Estimating the entropy of a discrete random variable is a fundamental problem in information theory and related fields. This problem has many applications in various domains, including machine learning, statistics and data compression. Over the …

Image detection using combinatorial auction

2024 · arXiv (Cornell University)

This paper studies the optimal solution of the classical problem of detecting the location of multiple image occurrences in a two-dimensional, noisy measurement. Assuming the image occurrences do not overlap, we formulate this task as …