9:00 AM
|
Organisational
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 10:20 AM)
|
9:00 AM
|
Registration
|
9:30 AM
|
Welcome to MLHEP
-
Caterina Doglioni
(Lund University (SE))
|
9:50 AM
|
Competition introduction
|
10:05 AM
|
--- Break ---
|
10:20 AM
|
Lectures
-
Aleksei Rogozhnikov
(Yandex School of Data Analysis (RU))
(until 1:20 PM)
|
10:20 AM
|
Intro: General pipeline, ML at a glance, model evaluation
|
11:40 AM
|
--- Break ---
|
12:00 PM
|
Metric ML algorithms
|
|
9:30 AM
|
Lectures
-
Aleksei Rogozhnikov
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
|
9:30 AM
|
Decision trees
|
10:50 AM
|
--- Break ---
|
11:10 AM
|
Ensembles
|
|
9:30 AM
|
Lectures
-
Aleksei Rogozhnikov
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
|
9:30 AM
|
Feature engineering, Dimensionality reduction
|
10:50 AM
|
--- Break ---
|
11:10 AM
|
Hyperparameters search
|
|
9:30 AM
|
Lectures
-
Tatiana Likhomanenko
(National Research Centre Kurchatov Institute (RU))
(until 11:10 AM)
|
9:30 AM
|
Boosting reweighting and flatness
|
10:50 AM
|
--- Break ---
|
11:10 AM
|
Seminars
-
Tatiana Likhomanenko
(National Research Centre Kurchatov Institute (RU))
(until 12:30 PM)
|
|
9:00 AM
|
Midsommar
(until 9:00 PM)
|
|
9:30 AM
|
Lectures
-
Alexander Panin
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
|
9:30 AM
|
Deep learning I
- Mr
Alexander Panin
(Yandex School of Data Analysis (RU))
|
10:50 AM
|
--- Break ---
|
11:10 AM
|
Deep learning II
- Mr
Alexander Panin
(Yandex School of Data Analysis (RU))
|
|
9:30 AM
|
Challenge hacking & conclusion
(until 6:30 PM)
|
9:30 AM
|
Challenge hacking
|
10:50 AM
|
--- Break ---
|
11:10 AM
|
Challenge hacking
|
2:30 PM
|
--- Break ---
|
3:00 PM
|
Presentations preparation
|
4:00 PM
|
Awards and best solutions presentations
|
|
1:20 PM
|
Organisational
(until 2:35 PM)
|
2:35 PM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 5:35 PM)
|
2:35 PM
|
Course technicalities, working environment
|
3:55 PM
|
--- Break ---
|
4:15 PM
|
Python for data analysis; Probability density estimation
|
5:35 PM
|
Organisational
(until 5:55 PM)
|
5:55 PM
|
Invited lectures
-
J Michael Williams
(Massachusetts Inst. of Technology (US))
(until 7:00 PM)
|
8:00 PM
|
Organisational
(until 9:30 PM)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
|
1:30 PM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 4:30 PM)
|
1:30 PM
|
Model evaluation
|
2:50 PM
|
--- Break ---
|
3:10 PM
|
sklearn, simple algorithms
|
4:30 PM
|
Organisational
(until 4:50 PM)
|
4:50 PM
|
Invited lectures
-Dr
Joaquin Vanschoren
(Eindhoven University of Technology)
(until 6:00 PM)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
|
1:30 PM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 3:10 PM)
|
1:30 PM
|
Ensemble algorithms, dimensionality reduction
|
2:50 PM
|
--- Break ---
|
3:10 PM
|
Invited lectures
-Dr
Vicens Gaitan
(Grupo AIA R&D Director)
(until 4:10 PM)
|
4:10 PM
|
Organisational
(until 4:30 PM)
|
4:30 PM
|
Invited lectures
-
Gilles Louppe
(New York University (US))
(until 5:30 PM)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
|
2:00 PM
|
Seminars
(until 7:20 PM)
( H418, RYDBERGSALEN)
|
2:00 PM
|
Feature engineering and selection
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
|
3:20 PM
|
--- Break ---
|
3:40 PM
|
Shallow neural networks
-
Alexander Panin
(Yandex School of Data Analysis (RU))
|
5:00 PM
|
--- Break ---
|
5:20 PM
|
Deep neural networks
-
Alexander Panin
(Yandex School of Data Analysis (RU))
|
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
|
1:30 PM
|
Seminars
-
Alexander Panin
(Yandex School of Data Analysis (RU))
(until 4:30 PM)
|
1:30 PM
|
Deep learning III
- Mr
Alexander Panin
(Yandex School of Data Analysis (RU))
|
2:50 PM
|
--- Break ---
|
3:10 PM
|
Deep learning IV
- Mr
Alexander Panin
(Yandex School of Data Analysis (RU))
|
4:30 PM
|
Organisational
(until 4:50 PM)
|
4:50 PM
|
Invited lectures
-
Chase Owen Shimmin
(University of California Irvine (US))
(until 5:50 PM)
|
|
|