Name: Fourth Machine Learning in High Energy Physics Summer School 2018
Start: 2018-08-06T07:00:00+01:00
End: 2018-08-12T18:00:00+01:00
Location: University of Oxford

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

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