Name: PHYSTAT: 2 Sample Testing and Goodness of Fit
Start: 2023-06-01T09:00:00+01:00
End: 2023-06-02T18:00:00+01:00
Location: No location set

PHYSTAT: 2 Sample Testing and Goodness of Fit

from Thursday, June 1, 2023 (9:00 AM) to Friday, June 2, 2023 (6:00 PM)

Monday, May 29, 2023
Tuesday, May 30, 2023
Wednesday, May 31, 2023
Thursday, June 1, 2023
9:00 AM
9:00 AM - 10:45 AM
Contributions

9:00 AM Introduction - Louis Lyons (Imperial College and Oxford)

9:15 AM Range of Machine Learning methods in Particle Physics - Ben Nachman (Lawrence Berkeley National Lab)

9:45 AM Discussion time

10:00 AM Goodness of fit by Neyman-Pearson testing - Gaia Grosso (Universita e INFN, Padova (IT))

10:30 AM Discussion time
10:45 AM Coffee Break
Coffee Break
10:45 AM - 11:15 AM
11:15 AM
11:15 AM - 1:00 PM
Contributions

11:15 AM Applications to deep generative models - Raghav Kansal (Univ. of California San Diego (US))

11:45 AM Discussion time

12:00 PM Optimal Transport for Goodness of Fit and 2-sample testing - Larry Wasserman (Carnegie Mellon University)

12:30 PM Final discussion time on day 1
Friday, June 2, 2023
9:00 AM
9:00 AM - 10:30 AM
Contributions

9:00 AM Multivariate model assessment without chi-squared - Sara Algeri (University of Minnesota)

9:30 AM Discussion time

9:45 AM Kernel methods for 2-sample and goodness of fit testing - Arthur Gretton (UCL)

10:15 AM Discussion time
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
11:00 AM
11:00 AM - 1:00 PM
Contributions

11:00 AM Comparing distributions of high dimensional complex data - Ann B Lee (Carnegie Mellon University)

11:30 AM Discussion time

11:45 AM Classifier-based 2 sample testing for model independent searches for New Physics - Mikael Kuusela (Carnegie Mellon University)

12:15 PM Final discussion time on Day 2

12:45 PM Closing of workshop

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