Back to the program

Topic-Contributed Paper Session

Probabilistic and Statistical Foundations of Machine Learning for Stochastic Processes

Mon, Aug 5, 8:30 AM - 10:20 AM

Jan BeranOrganizerSucharita GhoshChair

Royal Statistical Society

4 Presentations

Statistical Interpretations of Geometric Based Machine Learning Methods

8:35 AM - 8:55 AM

John Aston (University of Cambridge)

Co-authors: Louis Goldwater Christie (University of Cambridge)

Learning Laws of Stochastic Processes

8:55 AM - 9:15 AM

Harald Oberhauser (University of Oxford)

Statistical Limits of Inverting Gaussian Fields

9:15 AM - 9:35 AM

Frederic Koehler

Optimal learning via Moderate Deviations Theory

9:35 AM - 9:55 AM

Tobias Sutter (University of Konstanz)

↑