Kernel Methods in Uncertainty Quantification and Experimental Design

Description

This workshop will focus on mathematical foundations and methodological developments in kernel methods for efficiently learning and predicting complex systems. Topics of interest will encompass probabilistic approaches to prediction, integration, optimization, approximate inference, and how these can be leveraged in the design of real and computer experiments.

This workshop will include a poster session. In order to propose a poster, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a poster.

The initial deadline for proposing is December 2, 2024; posters submitted by December 2, 2024 will be guaranteed consideration. If your proposal is accepted, you should plan to attend the event in-person.

Registration

IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request accommodations.