Discussion on the paper: Hypotheses testing by convex optimization by Goldenshluger, Juditsky and Nemirovski

TL;DR

This paper discusses key questions and implications of the original work on hypotheses testing using convex optimization, highlighting its theoretical significance and potential applications.

Contribution

It provides a critical discussion on the foundational questions and future directions stemming from the convex optimization approach to hypotheses testing.

Findings

Identifies open questions in convex optimization-based hypotheses testing.

Highlights theoretical insights and potential practical applications.

Suggests future research directions in the field.

Abstract

We briefly discuss some interesting questions related to the paper "Hypotheses testing by convex optimization" by Goldenshluger, Juditsky and Nemirovski.