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, August 6, 2018 (7:00 AM) to Sunday, August 12, 2018 (6:00 PM)

Monday, August 6, 2018
8:50 AM Opening words
Opening words
8:50 AM - 9:00 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

8:50 AM 'Welcome to MLHEP' Opening Words - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Miha Zgubic (University of Oxford (GB))
9:00 AM Day 1 Lectures (Track 1)
Day 1 Lectures (Track 1)
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

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))
Day 1 Lectures (Track 2)
Day 1 Lectures (Track 2)
9:00 AM - 10:30 AM
Contributions

9:00 AM Track 2 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting. - Alexey Artemov (Yandex)
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: St Anne's College, Mary Ogilvie LT
11:00 AM Day 1 Seminars (Track 1)
Day 1 Seminars (Track 1)
11:00 AM - 12:30 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

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))
Day 1 Seminars (Track 2)
Day 1 Seminars (Track 2)
11:00 AM - 12:30 PM
Contributions

11:00 AM Track 2 Seminar. Tree Ensembles in practice. - Alexey Artemov (Yandex)
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: St Anne's College, Mary Ogilvie LT
1:30 PM Day 1 Lectures (Track 1)
Day 1 Lectures (Track 1)
1:30 PM - 3:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

1:30 PM 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)
1:30 PM - 3:00 PM
Contributions

1:30 PM Track 2 Lecture. Dimensionality reduction. - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
Room: St Anne's College, Mary Ogilvie LT
3:30 PM Day 1 Seminars (Track 1)
Day 1 Seminars (Track 1)
3:30 PM - 5:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

3:30 PM 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)
3:30 PM - 5:00 PM
Contributions

3:30 PM Track 2 Seminar. Graph methods.
5:00 PM Competition Introduction
Competition Introduction
5:00 PM - 5:20 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

5:00 PM Competition Introduction - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
5:20 PM Accelerating searches for new physics (and Dark Matter) with Machine Learning
Accelerating searches for new physics (and Dark Matter) with Machine Learning
5:20 PM - 6:50 PM
Room: St Anne's College, Mary Ogilvie LT

7:00 PM Welcome Reception
Welcome Reception
7:00 PM - 8:30 PM
Room: St Anne's College, Mary Ogilvie LT
Tuesday, August 7, 2018
9:00 AM Day 2 Lectures
Day 2 Lectures
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

9:00 AM Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation. - Alexey Artemov (Yandex)
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: St Anne's College, Mary Ogilvie LT
11:00 AM Day 2 Seminars
Day 2 Seminars
11:00 AM - 12:30 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

11:00 AM Seminar. Computing gradient by hand. Keras. - Alexey Artemov (Yandex)
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: St Anne's College, Mary Ogilvie LT
1:30 PM Day 2 Lectures
Day 2 Lectures
1:30 PM - 3:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

1:30 PM Lecture. Intro into Deep learning. Convolutional Neural Network. - Alexey Artemov (Yandex)
3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
Room: St Anne's College, Mary Ogilvie LT
3:30 PM Day 2 seminrs
Day 2 seminrs
3:30 PM - 5:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

3:30 PM Seminar. Image recognition using convolutional neural networks. - Alexey Artemov (Yandex)
5:00 PM Break
Break
5:00 PM - 5:15 PM
Room: St Anne's College, Mary Ogilvie LT

5:15 PM Fuelling the Artificial Intelligence Revolution with Gaming (Alison Lowndes, Nvidia)
Fuelling the Artificial Intelligence Revolution with Gaming (Alison Lowndes, Nvidia)
5:15 PM - 6:45 PM
Room: St Anne's College, Mary Ogilvie LT
7:00 PM 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))
7:00 PM - 7:40 PM
Room: St Anne's College, Mary Ogilvie LT
Wednesday, August 8, 2018

9:00 AM

9:00 AM - 9:00 PM
Room: St Anne's College, Mary Ogilvie LT

11:00 AM Walking tour of Oxford
Walking tour of Oxford
11:00 AM - 1:00 PM

2:00 PM Oxford Union tour: A-D
Oxford Union tour: A-D
2:00 PM - 3:00 PM

3:00 PM Oxfordu Union tour: E-Mc
Oxfordu Union tour: E-Mc
3:00 PM - 4:00 PM

4:00 PM Oxford Union tour: Me-Z
Oxford Union tour: Me-Z
4:00 PM - 5:00 PM
Thursday, August 9, 2018
9:00 AM Day 4 Lectures
Day 4 Lectures
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

9:00 AM Lecture. Probability density estimation. Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: St Anne's College, Mary Ogilvie LT
11:00 AM Day 4 Seminars
Day 4 Seminars
11:00 AM - 12:30 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

11:00 AM Seminar. Tensorflow, Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: St Anne's College, Mary Ogilvie LT
1:30 PM Day 4 Lectures
Day 4 Lectures
1:30 PM - 3:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

1:30 PM Lecture. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU))
3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
Room: St Anne's College, Mary Ogilvie LT
3:30 PM Day 4 Seminars
Day 4 Seminars
3:30 PM - 5:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

3:30 PM Seminar. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU))
5:00 PM Break
Break
5:00 PM - 5:15 PM
Room: St Anne's College, Mary Ogilvie LT

5:15 PM What makes tensorflow fast? (Peter Braam, Braam Research LLC)
What makes tensorflow fast? (Peter Braam, Braam Research LLC)
5:15 PM - 6:15 PM
Room: St Anne's College, Mary Ogilvie LT
Friday, August 10, 2018

8:30 AM Neural networks for Network structures (MPNN)
Neural networks for Network structures (MPNN)
8:30 AM - 9:00 AM
Room: St Anne's College, Mary Ogilvie LT
9:00 AM Day 5 Lectures
Day 5 Lectures
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

9:00 AM Lecture. Black-box optimization: Bayesian Optimization, Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: St Anne's College, Mary Ogilvie LT
11:00 AM Day 5 Seminars
Day 5 Seminars
11:00 AM - 12:30 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

11:00 AM Seminar. Hyper-parameter optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: St Anne's College, Mary Ogilvie LT
1:30 PM Day 5 Lectures
Day 5 Lectures
1:30 PM - 3:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

1:30 PM Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))
3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
Room: St Anne's College, Mary Ogilvie LT
3:30 PM Day 5 Seminars
Day 5 Seminars
3:30 PM - 5:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

3:30 PM Seminar. Tuning PYTHIA. - Maxim Borisyak (Yandex School of Data Analysis (RU))
5:00 PM Break
Break
5:00 PM - 5:15 PM
Room: St Anne's College, Mary Ogilvie LT

5:15 PM 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)
5:15 PM - 6:45 PM
Room: St Anne's College, Mary Ogilvie LT

7:00 PM Drinks Reception
Drinks Reception
7:00 PM - 7:45 PM

7:45 PM School Dinner
School Dinner
7:45 PM - 9:45 PM
Saturday, August 11, 2018
9:00 AM Day 6 Lectures
Day 6 Lectures
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT
Contributions

9:00 AM Lecture. Domain Adaptation (reweighting, flatness, adversarial DA). - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: St Anne's College, Mary Ogilvie LT
11:00 AM Day 6 Seminars
Day 6 Seminars
11:00 AM - 12:30 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

11:00 AM Seminar. NN interpretation. Tips & tweaks. - Alexey Artemov (Skoltech, HSE)
12:30 PM Lunch
Lunch
12:30 PM - 1:30 PM
Room: St Anne's College, Mary Ogilvie LT
1:30 PM Day 6 Lectures.
Day 6 Lectures.
1:30 PM - 3:00 PM
Room: St Anne's College, Mary Ogilvie LT
Contributions

1:30 PM Lecture. RNN: GRU + LSTM + Jet recognition.
3:00 PM Coffee break
Coffee break
3:00 PM - 3:30 PM
Room: St Anne's College, Mary Ogilvie LT

3:30 PM Deep Learning in High Energy Physics.
Deep Learning in High Energy Physics.
3:30 PM - 5:00 PM
Room: St Anne's College, Mary Ogilvie LT

5:00 PM Break
Break
5:00 PM - 5:15 PM
Room: St Anne's College, Mary Ogilvie LT

5:15 PM Few-shot Generative Modelling with Generative Matching Networks (Sergey Bartunov, DeepMind)
Few-shot Generative Modelling with Generative Matching Networks (Sergey Bartunov, DeepMind)
5:15 PM - 6:45 PM
Room: St Anne's College, Mary Ogilvie LT
Sunday, August 12, 2018

9:00 AM Competition and school wrap-up.
Competition and school wrap-up.
9:00 AM - 10:30 AM
Room: St Anne's College, Mary Ogilvie LT

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