4 papers
Anchor-Based Function Extrapolation with Proven Bounds and Projection Guarantees
Guy Hay, Nir Sharon
Classical approximation and learning methods are typically optimized for interpolation over a sampled domain Ω, with no guarantees on their behavior in an extrapolation region Ξ, w…
Function Extrapolation with Neural Networks and Its Application for Manifolds
Guy Hay, Nir Sharon
This paper addresses the problem of accurately estimating a function on one domain when only its discrete samples are available on another domain. To answer this challenge, we util…
SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data
Guy Hay, Pablo Liberman
We consider a self-supervised approach to anomaly detection in tabular data. Random transformations are applied to the data, and then each transformation is identified based on its…
Marginal Laplacian Score
Guy Hay, Ohad Volk
High-dimensional imbalanced data poses a machine learning challenge. In the absence of sufficient or high-quality labels, unsupervised feature selection methods are crucial for the…