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)
University of Oxford (St Anne's College, Mary Ogilvie LT)

: Sessions

: Talks

: Breaks

Aug 6, 2018

Aug 7, 2018

Aug 8, 2018

Aug 9, 2018

Aug 10, 2018

Aug 11, 2018

Aug 12, 2018

8:50 AM	Organisational - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Miha Zgubic (University of Oxford (GB)) (until 9:00 AM)
8:50 AM	'Welcome to MLHEP' Opening Words - Miha Zgubic (University of Oxford (GB)) Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) MLHEP2018-Welcome.pdf Oxford-Welcome.pdf
9:00 AM	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30 AM)
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))
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)
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))
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)
9:00 AM	Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation. - Alexey Artemov (Yandex)
10:30 AM	--- Coffee break ---
11:00 AM	Seminars - Alexey Artemov (Yandex) (until 12:30 PM)
11:00 AM	Seminar. Computing gradient by hand. Keras. - Alexey Artemov (Yandex)

9:00 AM	Free day (until 9:00 PM)
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)
9:00 AM	Lecture. Probability density estimation. Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))
10:30 AM	--- Coffee break ---
11:00 AM	Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 12:30 PM)
11:00 AM	Seminar. Tensorflow, Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))

8:30 AM	Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 9:00 AM)
9:00 AM	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30 AM)
9:00 AM	Lecture. Black-box optimization: Bayesian Optimization, Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))
10:30 AM	--- Coffee break ---
11:00 AM	Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 12:30 PM)
11:00 AM	Seminar. Hyper-parameter optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))

9:00 AM	Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 10:30 AM)
9:00 AM	Lecture. Domain Adaptation (reweighting, flatness, adversarial DA). - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
10:30 AM	--- Coffee break ---
11:00 AM	Seminars -Dr Alexey Artemov (Skoltech, HSE) (until 12:30 PM)
11:00 AM	Seminar. NN interpretation. Tips & tweaks. - Dr Alexey Artemov (Skoltech, HSE)

9:00 AM

Organisational (until 10:30 AM)

12:30 PM	Organisational (until 1:30 PM)
1:30 PM	Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 3:00 PM)
1:30 PM	Track 1 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting. - Nikita Kazeev (Yandex School of Data Analysis (RU))
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)
3:30 PM	Track 1 Seminar. Tree Ensembles in practice - Nikita Kazeev (Yandex School of Data Analysis (RU))
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)
5:00 PM	Competition Introduction - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
5:20 PM	Invited talk - Sascha Caron (Nikhef National institute for subatomic physics (NL)) (until 6:50 PM)
7:00 PM	Organisational (until 8:30 PM)

12:30 PM	Organisational (until 1:30 PM)
1:30 PM	Lectures - Alexey Artemov (Yandex) (until 3:00 PM)
1:30 PM	Lecture. Intro into Deep learning. Convolutional Neural Network. - Alexey Artemov (Yandex)
3:00 PM	--- Coffee break ---
3:30 PM	Seminars - Alexey Artemov (Yandex) (until 5:00 PM)
3:30 PM	Seminar. Image recognition using convolutional neural networks. - Alexey Artemov (Yandex)
5:00 PM	Organisational (until 5:15 PM)
5:15 PM	Invited talk (until 6:45 PM)
7:00 PM	Extra session on gradient boosting (optional) - Maxim Borisyak (Yandex School of Data Analysis (RU))

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)
1:30 PM	Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 3:00 PM)
1:30 PM	Lecture. Generative Adversarial Networks. - Nikita Kazeev (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)
3:30 PM	Seminar. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU))
5:00 PM	Organisational (until 5:15 PM)
5:15 PM	Invited talk (until 6:15 PM)

12:30 PM	Organisational (until 1:30 PM)
1:30 PM	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 3:00 PM)
1:30 PM	Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))
3:00 PM	--- Coffee break ---
3:30 PM	Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 5:00 PM)
3:30 PM	Seminar. Tuning PYTHIA. - Maxim Borisyak (Yandex School of Data Analysis (RU))
5:00 PM	Organisational (until 5:15 PM)
5:15 PM	Invited talk (until 6:45 PM)
7:00 PM	--- Drinks Reception ---
7:45 PM	--- School Dinner ---

12:30 PM	Organisational (until 1:30 PM)
1:30 PM	Lectures (until 3:00 PM)
1:30 PM	Lecture. RNN: GRU + LSTM + Jet recognition.
3:00 PM	--- Coffee break ---
3:30 PM	Invited talk - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)) (until 5:00 PM)
5:00 PM	Organisational (until 5:15 PM)
5:15 PM	Invited talk (until 6:45 PM)

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