IN2P3 School of Statistics 2021

from Monday, 18 January 2021 (08:00) to Friday, 29 January 2021 (18:00)
Zoom space

        : Sessions
    /     : Talks
        : Breaks
18 Jan 2021
19 Jan 2021
20 Jan 2021
21 Jan 2021
22 Jan 2021
25 Jan 2021
26 Jan 2021
27 Jan 2021
28 Jan 2021
29 Jan 2021
AM
09:00 Welcome - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)   ()
09:05 Basic concepts of statistics - Part I - Julien Donini (UBP/LPC/IN2P3)   ()
10:35 --- Coffee break ---
10:50 Basic concepts of statistics - Part II - Julien Donini (UBP/LPC/IN2P3)   ()
09:00 Classical interval estimation, limits systematics and beyond - Part I - Glen Cowan (Royal Holloway)   ()
10:30 --- Coffee Break ---
10:45 Classical interval estimation, limits systematics and beyond - Part II - Glen Cowan (Royal Holloway)   ()
10:00 Basics of statistics: hands-on - Guillaume MENTION (CEA Saclay)   ()
09:00 Introduction to Machine Learning - Vincent Barra (ISIMA)   ()
09:00 Boosted Decision Trees - Yann Coadou (CPPM Marseille)   ()
09:00 Basics Machine Leaning: hands-on - David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)   ()
09:00 Introduction to Deep Learning - Part I - Michael Kagan (SLAC)   ()
10:30 --- Coffee break ---
10:45 Introduction to Deep Learning - Part II - Michael Kagan (SLAC)   ()
09:00 Deep learning at colliders - Jean-Roch Vlimant (California Institute of Technology)   ()
09:00 Advanced Machine Learning: hands-on - Jean-Roch Vlimant (California Institute of Technology )   ()
09:00 Multitasks learning for astroparticle physics - Thomas Vuillaume (LAPP, CNRS)   ()
10:15 --- Coffee break ---
10:30 Introduction to Deep Learning - Part III extra time - Michael Kagan (SLAC)   ()
PM
12:00 Farewell - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)   ()