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 1 June 2023 (09:00) to Friday 2 June 2023 (18:00)

Monday 29 May 2023
Tuesday 30 May 2023
Wednesday 31 May 2023
Thursday 1 June 2023
09:00
09:00 - 10:45
Contributions

09:00 Introduction - Louis Lyons (Imperial College and Oxford)

09:15 Range of Machine Learning methods in Particle Physics - Ben Nachman (Lawrence Berkeley National Lab)

09:45 Discussion time

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

10:30 Discussion time
10:45 Coffee Break
Coffee Break
10:45 - 11:15
11:15
11:15 - 13:00
Contributions

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

11:45 Discussion time

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

12:30 Final discussion time on day 1
Friday 2 June 2023
09:00
09:00 - 10:30
Contributions

09:00 Multivariate model assessment without chi-squared - Sara Algeri (University of Minnesota)

09:30 Discussion time

09:45 Kernel methods for 2-sample and goodness of fit testing - Arthur Gretton (UCL)

10:15 Discussion time
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00
11:00 - 13:00
Contributions

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

11:30 Discussion time

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

12:15 Final discussion time on Day 2

12:45 Closing of workshop