PHYSTAT: 2 Sample Testing and Goodness of Fit

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


        : Sessions
    /     : Talks
        : Breaks
1 Jun 2023
2 Jun 2023
AM
09:00
Session 1a - J Michael Williams (MIT) (until 10:45)
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 ---
11:15
Session 1b - Wolfgang Rolke (Puerto Rico, Mayaguez) (until 13:00)
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  
09:00
Session 2a -Dr Pietro Vischia (Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA)) (until 10:30)
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 ---
11:00
Session 2b - Francisco Matorras (Instituto de Fisica de Cantabria, Santander, IFCA (ES)) (until 13:00)
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  
PM