[edit]

ML and the Physical World

DRAFT

Week 1: Mechanistic and Data Driven Modelling

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 2: Statistical Emulation: Machine Learning and Surrogate Modelling

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 3: Active Learning and Experimental Design

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 4: Sensitivity Analysis

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Week 5: Bayesian Optimisation

Lecturer: Neil D. Lawrence
Room: TBA
Venue: Computer Laboratory, William Gates Building

Special Topics

The lectures for weeks 5 to 8 will focus on “special topics”. Some of these will be given by guest lecturers and therefore availability will be dependent on availability of guest lecturers.

Topic: A

Title: Multi-Fidelity Emulation

Lecturer: Neil D. Lawrence

Venue: Computer Laboratory, William Gates Building

This site last compiled Tue, 25 Aug 2020 10:40:11 +0000
Github Account Copyright © Neil D. Lawrence 2020. All rights reserved.