In this paper we propose principal weighted support vector machines, a unified framework for linear and nonlinear sufficient dimension reduction in binary classification. Its asymptotic properties are ...

"ACORN for filtered vector queries and default Better Binary Quantization represent a step-change in performance and efficiency.

A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used ...

Improved Ranking with BBQ by Default Better Binary Quantization (BBQ) is now the default quantization method for dense vectors of 384+ dimensions in Elasticsearch 9.1.