Fourth Machine Learning in High Energy Physics Summer School 2018
from
Monday 6 August 2018 (07:00)
to
Sunday 12 August 2018 (18:00)
Monday 6 August 2018
08:50
Opening words
Opening words
08:50 - 09:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
08:50
'Welcome to MLHEP' Opening Words
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
Miha Zgubic
(
University of Oxford (GB)
)
09:00
Day 1 Lectures (Track 1)
Day 1 Lectures (Track 1)
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
09:00
Track 1 Lecture. Overfitting. Model Selection. Figures of Merits. Linear Models. Regularization. Logistic Regression.
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
Day 1 Lectures (Track 2)
Day 1 Lectures (Track 2)
09:00 - 10:30
Contributions
09:00
Track 2 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting.
-
Alexey Artemov
(
Yandex
)
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Day 1 Seminars (Track 1)
Day 1 Seminars (Track 1)
11:00 - 12:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
11:00
Track 1 Seminar. Introduction into Decision Trees. Python ML stack recap (numpy, scikit-learn, pandas).
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
Day 1 Seminars (Track 2)
Day 1 Seminars (Track 2)
11:00 - 12:30
Contributions
11:00
Track 2 Seminar. Tree Ensembles in practice.
-
Alexey Artemov
(
Yandex
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: St Anne's College, Mary Ogilvie LT
13:30
Day 1 Lectures (Track 1)
Day 1 Lectures (Track 1)
13:30 - 15:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
13:30
Track 1 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting.
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
Day 1 Lectures (Track 2)
Day 1 Lectures (Track 2)
13:30 - 15:00
Contributions
13:30
Track 2 Lecture. Dimensionality reduction.
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: St Anne's College, Mary Ogilvie LT
15:30
Day 1 Seminars (Track 1)
Day 1 Seminars (Track 1)
15:30 - 17:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
15:30
Track 1 Seminar. Tree Ensembles in practice
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
Day 1 Seminars (Track 2)
Day 1 Seminars (Track 2)
15:30 - 17:00
Contributions
15:30
Track 2 Seminar. Graph methods.
17:00
Competition Introduction
Competition Introduction
17:00 - 17:20
Room: St Anne's College, Mary Ogilvie LT
Contributions
17:00
Competition Introduction
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
17:20
Accelerating searches for new physics (and Dark Matter) with Machine Learning
Accelerating searches for new physics (and Dark Matter) with Machine Learning
17:20 - 18:50
Room: St Anne's College, Mary Ogilvie LT
19:00
Welcome Reception
Welcome Reception
19:00 - 20:30
Room: St Anne's College, Mary Ogilvie LT
Tuesday 7 August 2018
09:00
Day 2 Lectures
Day 2 Lectures
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
09:00
Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation.
-
Alexey Artemov
(
Yandex
)
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Day 2 Seminars
Day 2 Seminars
11:00 - 12:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
11:00
Seminar. Computing gradient by hand. Keras.
-
Alexey Artemov
(
Yandex
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: St Anne's College, Mary Ogilvie LT
13:30
Day 2 Lectures
Day 2 Lectures
13:30 - 15:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
13:30
Lecture. Intro into Deep learning. Convolutional Neural Network.
-
Alexey Artemov
(
Yandex
)
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: St Anne's College, Mary Ogilvie LT
15:30
Day 2 seminrs
Day 2 seminrs
15:30 - 17:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
15:30
Seminar. Image recognition using convolutional neural networks.
-
Alexey Artemov
(
Yandex
)
17:00
Break
Break
17:00 - 17:15
Room: St Anne's College, Mary Ogilvie LT
17:15
Fuelling the Artificial Intelligence Revolution with Gaming (Alison Lowndes, Nvidia)
Fuelling the Artificial Intelligence Revolution with Gaming (Alison Lowndes, Nvidia)
17:15 - 18:45
Room: St Anne's College, Mary Ogilvie LT
19:00
Extra session on gradient boosting (optional)
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
Extra session on gradient boosting (optional)
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
19:00 - 19:40
Room: St Anne's College, Mary Ogilvie LT
Wednesday 8 August 2018
09:00
09:00 - 21:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Walking tour of Oxford
Walking tour of Oxford
11:00 - 13:00
14:00
Oxford Union tour: A-D
Oxford Union tour: A-D
14:00 - 15:00
15:00
Oxfordu Union tour: E-Mc
Oxfordu Union tour: E-Mc
15:00 - 16:00
16:00
Oxford Union tour: Me-Z
Oxford Union tour: Me-Z
16:00 - 17:00
Thursday 9 August 2018
09:00
Day 4 Lectures
Day 4 Lectures
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
09:00
Lecture. Probability density estimation. Variational Autoencoder.
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Day 4 Seminars
Day 4 Seminars
11:00 - 12:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
11:00
Seminar. Tensorflow, Variational Autoencoder.
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: St Anne's College, Mary Ogilvie LT
13:30
Day 4 Lectures
Day 4 Lectures
13:30 - 15:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
13:30
Lecture. Generative Adversarial Networks.
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: St Anne's College, Mary Ogilvie LT
15:30
Day 4 Seminars
Day 4 Seminars
15:30 - 17:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
15:30
Seminar. Generative Adversarial Networks.
-
Nikita Kazeev
(
Yandex School of Data Analysis (RU)
)
17:00
Break
Break
17:00 - 17:15
Room: St Anne's College, Mary Ogilvie LT
17:15
What makes tensorflow fast? (Peter Braam, Braam Research LLC)
What makes tensorflow fast? (Peter Braam, Braam Research LLC)
17:15 - 18:15
Room: St Anne's College, Mary Ogilvie LT
Friday 10 August 2018
08:30
Neural networks for Network structures (MPNN)
Neural networks for Network structures (MPNN)
08:30 - 09:00
Room: St Anne's College, Mary Ogilvie LT
09:00
Day 5 Lectures
Day 5 Lectures
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
09:00
Lecture. Black-box optimization: Bayesian Optimization, Variational Optimization.
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Day 5 Seminars
Day 5 Seminars
11:00 - 12:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
11:00
Seminar. Hyper-parameter optimization.
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: St Anne's College, Mary Ogilvie LT
13:30
Day 5 Lectures
Day 5 Lectures
13:30 - 15:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
13:30
Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization.
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: St Anne's College, Mary Ogilvie LT
15:30
Day 5 Seminars
Day 5 Seminars
15:30 - 17:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
15:30
Seminar. Tuning PYTHIA.
-
Maxim Borisyak
(
Yandex School of Data Analysis (RU)
)
17:00
Break
Break
17:00 - 17:15
Room: St Anne's College, Mary Ogilvie LT
17:15
Applied machine learning in marketing tech: Data driven advertising at the petabyte scale. (Alex Sadovsky, Oracle)
Applied machine learning in marketing tech: Data driven advertising at the petabyte scale. (Alex Sadovsky, Oracle)
17:15 - 18:45
Room: St Anne's College, Mary Ogilvie LT
19:00
Drinks Reception
Drinks Reception
19:00 - 19:45
19:45
School Dinner
School Dinner
19:45 - 21:45
Saturday 11 August 2018
09:00
Day 6 Lectures
Day 6 Lectures
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
09:00
Lecture. Domain Adaptation (reweighting, flatness, adversarial DA).
-
Andrey Ustyuzhanin
(
Yandex School of Data Analysis (RU)
)
10:30
Coffee break
Coffee break
10:30 - 11:00
Room: St Anne's College, Mary Ogilvie LT
11:00
Day 6 Seminars
Day 6 Seminars
11:00 - 12:30
Room: St Anne's College, Mary Ogilvie LT
Contributions
11:00
Seminar. NN interpretation. Tips & tweaks.
-
Alexey Artemov
(
Skoltech, HSE
)
12:30
Lunch
Lunch
12:30 - 13:30
Room: St Anne's College, Mary Ogilvie LT
13:30
Day 6 Lectures.
Day 6 Lectures.
13:30 - 15:00
Room: St Anne's College, Mary Ogilvie LT
Contributions
13:30
Lecture. RNN: GRU + LSTM + Jet recognition.
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: St Anne's College, Mary Ogilvie LT
15:30
Deep Learning in High Energy Physics.
Deep Learning in High Energy Physics.
15:30 - 17:00
Room: St Anne's College, Mary Ogilvie LT
17:00
Break
Break
17:00 - 17:15
Room: St Anne's College, Mary Ogilvie LT
17:15
Few-shot Generative Modelling with Generative Matching Networks (Sergey Bartunov, DeepMind)
Few-shot Generative Modelling with Generative Matching Networks (Sergey Bartunov, DeepMind)
17:15 - 18:45
Room: St Anne's College, Mary Ogilvie LT
Sunday 12 August 2018
09:00
Competition and school wrap-up.
Competition and school wrap-up.
09:00 - 10:30
Room: St Anne's College, Mary Ogilvie LT