8:50 AM
|
Organisational
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
Miha Zgubic
(University of Oxford (GB))
(until 9:00 AM)
(St Anne's College, Mary Ogilvie LT)
|
8:50 AM
|
'Welcome to MLHEP' Opening Words
-
Miha Zgubic
(University of Oxford (GB))
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lectures
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Track 1 Lecture. Overfitting. Model Selection. Figures of Merits. Linear Models. Regularization. Logistic Regression.
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lectures
-
Alexey Artemov
(Yandex)
(until 10:30 AM)
()
|
9:00 AM
|
Track 2 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting.
-
Alexey Artemov
(Yandex)
()
|
10:30 AM
|
--- Coffee break ---
|
11:00 AM
|
Seminars
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Track 1 Seminar. Introduction into Decision Trees. Python ML stack recap (numpy, scikit-learn, pandas).
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Seminars
-
Alexey Artemov
(Yandex)
(until 12:30 PM)
()
|
11:00 AM
|
Track 2 Seminar. Tree Ensembles in practice.
-
Alexey Artemov
(Yandex)
()
|
|
9:00 AM
|
Lectures
-
Alexey Artemov
(Yandex)
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation.
-
Alexey Artemov
(Yandex)
(St Anne's College, Mary Ogilvie LT)
|
10:30 AM
|
--- Coffee break ---
|
11:00 AM
|
Seminars
-
Alexey Artemov
(Yandex)
(until 12:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Seminar. Computing gradient by hand. Keras.
-
Alexey Artemov
(Yandex)
(St Anne's College, Mary Ogilvie LT)
|
|
9:00 AM
|
Free day
(until 9:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Free day
(until 1:00 PM)
()
|
|
9:00 AM
|
Lectures
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lecture. Probability density estimation. Variational Autoencoder.
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
10:30 AM
|
--- Coffee break ---
|
11:00 AM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Seminar. Tensorflow, Variational Autoencoder.
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
|
8:30 AM
|
Lectures
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 9:00 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lectures
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lecture. Black-box optimization: Bayesian Optimization, Variational Optimization.
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
10:30 AM
|
--- Coffee break ---
|
11:00 AM
|
Seminars
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 12:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Seminar. Hyper-parameter optimization.
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
|
9:00 AM
|
Lectures
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
9:00 AM
|
Lecture. Domain Adaptation (reweighting, flatness, adversarial DA).
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
10:30 AM
|
--- Coffee break ---
|
11:00 AM
|
Seminars
-Dr
Alexey Artemov
(Skoltech, HSE)
(until 12:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
11:00 AM
|
Seminar. NN interpretation. Tips & tweaks.
- Dr
Alexey Artemov
(Skoltech, HSE)
(St Anne's College, Mary Ogilvie LT)
|
|
9:00 AM
|
Organisational
(until 10:30 AM)
(St Anne's College, Mary Ogilvie LT)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 3:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Track 1 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting.
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 3:00 PM)
()
|
1:30 PM
|
Track 2 Lecture. Dimensionality reduction.
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
()
|
3:00 PM
|
--- Coffee break ---
|
3:30 PM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 5:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
3:30 PM
|
Track 1 Seminar. Tree Ensembles in practice
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
3:30 PM
|
Seminars
(until 5:00 PM)
()
|
3:30 PM
|
Track 2 Seminar. Graph methods.
()
|
5:00 PM
|
Practice
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(until 5:20 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:00 PM
|
Competition Introduction
-
Andrey Ustyuzhanin
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
5:20 PM
|
Invited talk
-
Sascha Caron
(Nikhef National institute for subatomic physics (NL))
(until 6:50 PM)
(St Anne's College, Mary Ogilvie LT)
|
7:00 PM
|
Organisational
(until 8:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
-
Alexey Artemov
(Yandex)
(until 3:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lecture. Intro into Deep learning. Convolutional Neural Network.
-
Alexey Artemov
(Yandex)
(St Anne's College, Mary Ogilvie LT)
|
3:00 PM
|
--- Coffee break ---
|
3:30 PM
|
Seminars
-
Alexey Artemov
(Yandex)
(until 5:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
3:30 PM
|
Seminar. Image recognition using convolutional neural networks.
-
Alexey Artemov
(Yandex)
(St Anne's College, Mary Ogilvie LT)
|
5:00 PM
|
Organisational
(until 5:15 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:15 PM
|
Invited talk
(until 6:45 PM)
(St Anne's College, Mary Ogilvie LT)
|
7:00 PM
|
Extra session on gradient boosting (optional)
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
|
2:00 PM
|
Free day
(until 3:00 PM)
()
|
3:00 PM
|
Free day
(until 4:00 PM)
()
|
4:00 PM
|
Free day
(until 5:00 PM)
()
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 3:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lecture. Generative Adversarial Networks.
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
3:00 PM
|
--- Coffee break ---
|
3:30 PM
|
Seminars
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(until 5:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
3:30 PM
|
Seminar. Generative Adversarial Networks.
-
Nikita Kazeev
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
5:00 PM
|
Organisational
(until 5:15 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:15 PM
|
Invited talk
(until 6:15 PM)
(St Anne's College, Mary Ogilvie LT)
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 3:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization.
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
3:00 PM
|
--- Coffee break ---
|
3:30 PM
|
Seminars
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(until 5:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
3:30 PM
|
Seminar. Tuning PYTHIA.
-
Maxim Borisyak
(Yandex School of Data Analysis (RU))
(St Anne's College, Mary Ogilvie LT)
|
5:00 PM
|
Organisational
(until 5:15 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:15 PM
|
Invited talk
(until 6:45 PM)
(St Anne's College, Mary Ogilvie LT)
|
7:00 PM
|
--- Drinks Reception ---
|
7:45 PM
|
--- School Dinner ---
|
|
12:30 PM
|
Organisational
(until 1:30 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lectures
(until 3:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
1:30 PM
|
Lecture. RNN: GRU + LSTM + Jet recognition.
(St Anne's College, Mary Ogilvie LT)
|
3:00 PM
|
--- Coffee break ---
|
3:30 PM
|
Invited talk
-
Michael Aaron Kagan
(SLAC National Accelerator Laboratory (US))
(until 5:00 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:00 PM
|
Organisational
(until 5:15 PM)
(St Anne's College, Mary Ogilvie LT)
|
5:15 PM
|
Invited talk
(until 6:45 PM)
(St Anne's College, Mary Ogilvie LT)
|
|
|