Mathematical foundations of AI workshop

Arrival and light breakfast

Welcome remarks

James Hensman, Senior Principal Researcher, Microsoft Research Cambridge

Keynote | Scalable generative modelling without data

Esmeralda S. Whitammer (opens in new tab), Chancellor’s Fellow, Institute for Machine Learning School of Informatics, University of Edinburgh

Talk | Feature learning and implicit regularization

Sushrut Karmalkar, Senior Researcher, Microsoft Research Cambridge

Poster lightning talks

Lunch + Posters

Tutorial | Sequential Monte Carlo, Feynman-Kac processes and diffusion generative models

Paul Fearnhead (opens in new tab), Professor, Lancaster University

Talk | Conditioning Gaussian processes on almost anything

Chris Nemeth (opens in new tab), Professor, Lancaster University

Talk | Equilibrium dynamics in reaction network architectures

Rachel Lawrence, Senior Researcher, Microsoft Research Cambridge

Talk | Connections between multigroup fairness and learning

Varun Kanade (opens in new tab), Associate Professor, University of Oxford

Closing statements

Teodora Pandeva (opens in new tab), Senior Researcher, Microsoft Research Cambridge

Networking reception + Mentorship sessions