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PHYSTAT: 2 Sample Testing and Goodness of Fit

1–2 Jun 2023
Europe/London timezone

Contribution List

18 out of 18 displayed
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  1. 1. Introduction
    Louis Lyons (Imperial College and Oxford)
    01/06/2023, 09:00
  2. 2. Range of Machine Learning methods in Particle Physics
    Ben Nachman (Lawrence Berkeley National Lab)
    01/06/2023, 09:15
  3. 3. Discussion time
    01/06/2023, 09:45
  4. 4. Goodness of fit by Neyman-Pearson testing
    Gaia Grosso (Universita e INFN, Padova (IT))
    01/06/2023, 10:00
  5. 5. Discussion time
    01/06/2023, 10:30
  6. 6. Applications to deep generative models
    Raghav Kansal (Univ. of California San Diego (US))
    01/06/2023, 11:15
  7. 7. Discussion time
    01/06/2023, 11:45
  8. 8. Optimal Transport for Goodness of Fit and 2-sample testing
    Larry Wasserman (Carnegie Mellon University)
    01/06/2023, 12:00
  9. 9. Final discussion time on day 1
    01/06/2023, 12:30
  10. 10. Multivariate model assessment without chi-squared
    Sara Algeri (University of Minnesota)
    02/06/2023, 09:00
  11. 11. Discussion time
    02/06/2023, 09:30
  12. 12. Kernel methods for 2-sample and goodness of fit testing
    Arthur Gretton (UCL)
    02/06/2023, 09:45
  13. 13. Discussion time
    02/06/2023, 10:15
  14. 14. Comparing distributions of high dimensional complex data
    Ann B Lee (Carnegie Mellon University)
    02/06/2023, 11:00
  15. 15. Discussion time
    02/06/2023, 11:30
  16. 16. Classifier-based 2 sample testing for model independent searches for New Physics
    Mikael Kuusela (Carnegie Mellon University)
    02/06/2023, 11:45
  17. 17. Final discussion time on Day 2
    02/06/2023, 12:15
  18. 18. Closing of workshop
    02/06/2023, 12:45