This event is part of Uncertainty Quantification and AI for Complex Systems View Details

Kernel Methods in Uncertainty Quantification and Experimental Design

March 31 — April 4, 2025

Description

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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.

Poster Session

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.

Organizers

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M A
Mihai Anitescu Argonne National Laboratory
D G
David Ginsbourger University of Bern
F H
Fred Hickernell Illinois Institute of Technology
S L
Shiwei Lan Arizona State University
D S
Daniel Sanz-Alonso University of Chicago
D W
Dave Woods University of Southampton

Speakers

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A A
Alen Alexanderian North Carolina State University (NCSU)
W C
Wei Chen Northwestern University
S D V
Sebastien Da Veiga ENSAI
A D
Andrew Duncan Imperial College
M D
Matthieu Darcy CalTech
J G
Josselin Garnier Ecole Polytechnique
R G
Roger Ghanem University of South California
R G
Robert Gramacy Virginia Tech
M G
Mengyang Gu University of California, Santa Barbra
R J
Roshan Joseph Georgia Tech
K K
Karina Koval Universität Heidelberg
M L
Michael Lindsey University of California, Berkeley
S M
Simon Mak Duke University
Y M
Youssef Marzouk MIT
H M
Henry Moss Cambridge University
H O
Houman Owhadi California Institute of Technology
M P
Mirjeta Pasha Massachusetts Institute of Technology (MIT)
V P
Victor Picheny Second Mind
C P
Clémentine Prieur Université Grenoble Alpes
T S
Tim Sullivan Mathematics Institute, The University of Warwick
C S
Chih-Li Sung Michigan State University

Registration

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

In order to register for this workshop, you must have an IMSI account and be logged in. Please use one of the buttons below to login or create an account.
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