Bayesian Optimisation In Many Dimensions With Bespoke Models

Bayesian optimisation

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

In this video, we explore

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

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

Title: Vanilla

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/

Automated Performance Tuning with

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

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

We report new paradigms for

In this work, we employ dimensionality reduction and a

From the NSF C-CAS Training Series: Introduction to

Abstract:

Bayesian Optimization

Author: Dr Henry Moss, Institute of Computing for Climate Science (ICCS), University of Cambridge Title: What is

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