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09:00
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Session 1a
-
J Michael Williams
(MIT)
(until 10:45)
()
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09:00
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Introduction
-
Louis Lyons
(Imperial College and Oxford)
()
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09:15
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Range of Machine Learning methods in Particle Physics
-
Ben Nachman
(Lawrence Berkeley National Lab)
()
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09:45
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Discussion time
()
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10:00
|
Goodness of fit by Neyman-Pearson testing
-
Gaia Grosso
(Universita e INFN, Padova (IT))
()
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10:30
|
Discussion time
()
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10:45
|
--- Coffee Break ---
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11:15
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Session 1b
-
Wolfgang Rolke
(Puerto Rico, Mayaguez)
(until 13:00)
()
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11:15
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Applications to deep generative models
-
Raghav Kansal
(Univ. of California San Diego (US))
()
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11:45
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Discussion time
()
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12:00
|
Optimal Transport for Goodness of Fit and 2-sample testing
-
Larry Wasserman
(Carnegie Mellon University)
()
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12:30
|
Final discussion time on day 1
()
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09:00
|
Session 2a
-Dr
Pietro Vischia
(Universidad de Oviedo and Instituto de Ciencias y Tecnologías Espaciales de Asturias (ICTEA))
(until 10:30)
()
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09:00
|
Multivariate model assessment without chi-squared
-
Sara Algeri
(University of Minnesota)
()
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09:30
|
Discussion time
()
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09:45
|
Kernel methods for 2-sample and goodness of fit testing
-
Arthur Gretton
(UCL)
()
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10:15
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Discussion time
()
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10:30
|
--- Coffee break ---
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11:00
|
Session 2b
-
Francisco Matorras
(Instituto de Fisica de Cantabria, Santander, IFCA (ES))
(until 13:00)
()
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11:00
|
Comparing distributions of high dimensional complex data
-
Ann B Lee
(Carnegie Mellon University)
()
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|
11:30
|
Discussion time
()
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11:45
|
Classifier-based 2 sample testing for model independent searches for New Physics
-
Mikael Kuusela
(Carnegie Mellon University)
()
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12:15
|
Final discussion time on Day 2
()
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12:45
|
Closing of workshop
()
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