On feasible set estimation with Bayesian active learning

About this video

Advanced · Editorial review · 85% confidence

Picked one by one from a mixed channel. Transcript check: Lecture explaining feasible set estimation with Bayesian active learning techniques.. Channel rule: Include only full mathematical lectures and talks (e.g. named lectures, seminar-style talks on a mathematical topic) and explicit short topic explainers where a researcher explains a mathematical concept (e.g. 'What is topological order?', 'explains Four colour theorem'). Exclude programme interviews, podcasts, profiles, previews and institutional news.

A 61-minute video from Isaac Newton Institute for Mathematical Sciences: “On feasible set estimation with Bayesian active learning”.

Video by Isaac Newton Institute for Mathematical Sciences, played through YouTube's embedded player.

Part of Kirk Distinguished Visiting Fellows Lectures