Second Machine Learning in High Energy Physics Summer School 2016
from
Monday 20 June 2016 (08:00)
to
Sunday 26 June 2016 (19:00)
Monday 20 June 2016
09:00
Welcome
Welcome
09:00 - 10:20
Room: Lundmarkssalen
Contributions
09:00
Registration
09:30
Welcome to MLHEP
-
Caterina Doglioni
(
Lund University (SE)
)
09:50
Competition introduction
10:20
Day 1 lectures
Day 1 lectures
10:20 - 13:20
Room: Lundmarkssalen
Contributions
10:20
Intro: General pipeline, ML at a glance, model evaluation
12:00
Metric ML algorithms
13:20
Lunch
Lunch
13:20 - 14:35
Room: Lundmarkssalen
14:35
Day 1 seminars
Day 1 seminars
14:35 - 17:35
Room: Lundmarkssalen
Contributions
14:35
Course technicalities, working environment
16:15
Python for data analysis; Probability density estimation
17:35
Break
Break
17:35 - 17:55
Room: Lundmarkssalen
17:55
Jet parton and particle identification and applications
Jet parton and particle identification and applications
17:55 - 19:00
Room: Lundmarkssalen
20:00
Welcome dinner
Welcome dinner
20:00 - 21:30
Tuesday 21 June 2016
09:30
Day 2 lectures
Day 2 lectures
09:30 - 12:30
Room: Lundmarkssalen
Contributions
09:30
Decision trees
11:10
Ensembles
12:30
Lunch
Lunch
12:30 - 13:30
Room: Lundmarkssalen
13:30
Day 2 seminrs
Day 2 seminrs
13:30 - 16:30
Room: Lundmarkssalen
Contributions
13:30
Model evaluation
15:10
sklearn, simple algorithms
16:30
Break
Break
16:30 - 16:50
Room: Lundmarkssalen
16:50
Online, Collaborative Machine Learning
Online, Collaborative Machine Learning
16:50 - 18:00
Room: Lundmarkssalen
Wednesday 22 June 2016
09:30
Day 3 lectures
Day 3 lectures
09:30 - 12:30
Room: Lundmarkssalen
Contributions
09:30
Feature engineering, Dimensionality reduction
11:10
Hyperparameters search
12:30
Lunch
Lunch
12:30 - 13:30
Room: Lundmarkssalen
13:30
Day 3 seminars
Day 3 seminars
13:30 - 15:10
Room: Lundmarkssalen
Contributions
13:30
Ensemble algorithms, dimensionality reduction
15:10
Data Doping solution to the "Flavour of Physics" Kaggle challenge
Data Doping solution to the "Flavour of Physics" Kaggle challenge
15:10 - 16:10
Room: Lundmarkssalen
16:10
Break
Break
16:10 - 16:30
Room: Lundmarkssalen
16:30
Approximating Likelihood Ratios with Calibrated Classifiers (TBC)
Approximating Likelihood Ratios with Calibrated Classifiers (TBC)
16:30 - 17:30
Room: Lundmarkssalen
Thursday 23 June 2016
09:30
Day 4 lectures
Day 4 lectures
09:30 - 11:10
Room: Lundmarkssalen
Contributions
09:30
Boosting reweighting and flatness
11:10
Boosting reweighting and flatness - seminar
Boosting reweighting and flatness - seminar
11:10 - 12:30
Room: Lundmarkssalen
12:30
Lunch
Lunch
12:30 - 13:30
Room: Lundmarkssalen
14:00
Day 4 seminars
Day 4 seminars
14:00 - 19:20
Room: H418, RYDBERGSALEN
Contributions
14:00
Feature engineering and selection
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
15:40
Shallow neural networks
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
17:20
Deep neural networks
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
Friday 24 June 2016
09:00
Midsommar
Midsommar
09:00 - 21:00
Room: Lundmarkssalen
Saturday 25 June 2016
09:30
Deep learning
Deep learning
09:30 - 12:30
Room: Lundmarkssalen
Contributions
09:30
Deep learning I
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
11:10
Deep learning II
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: Lundmarkssalen
13:30
Deep learning
Deep learning
13:30 - 16:30
Room: Lundmarkssalen
Contributions
13:30
Deep learning III
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
15:10
Deep learning IV
-
Alexander Panin
(
Yandex School of Data Analysis (RU)
)
16:30
Break
Break
16:30 - 16:50
Room: Lundmarkssalen
16:50
Ultra High Energy Cosmic Rays and the CRAYFIS Experiment
Ultra High Energy Cosmic Rays and the CRAYFIS Experiment
16:50 - 17:50
Room: Lundmarkssalen
Sunday 26 June 2016
09:30
09:30 - 18:30
Room: Lundmarkssalen
Contributions
09:30
Challenge hacking
11:10
Challenge hacking
15:00
Presentations preparation
16:00
Awards and best solutions presentations