Bayesian Optimisation In Many Dimensions With Bespoke Models

Bayesian optimisation

Authors: Yihang Shen, Carl Kingsford https://2023.automl.cc/program/accepted_papers/

Authors: Alina Selega, Kieran R. Campbell https://2023.automl.cc/program/accepted_papers/

Drive faster, more efficient innovation with the latest in intelligent experimentation.

In this video, we explore

Professor Ruth Misener is the BASF/RAEng Research Chair in Data-Driven

Title: Vanilla

Automated Performance Tuning with

The talk by Carl Henrik Ek at the Probabilistic Numerics Spring School 2023 in Tübingen, on 29 March 2023. Further videos from ...

Authors: Yihang Shen, Carl Kingsford https://2023.automl.cc/program/accepted_papers/

This video is the 33rd talk that was given for the AI4SD2022 Conference.

Title: Understanding High-

Bayesian Optimization

Abstract:

Have you ever wondered how deep neural networks are designed? We can now use artificial intelligence (AI) itself to do just that.

We report new paradigms for

Bayesian Optimization

Bayesian optimization