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

: Sessions

: Talks

: Breaks

6 Aug 2018

7 Aug 2018

8 Aug 2018

9 Aug 2018

10 Aug 2018

11 Aug 2018

12 Aug 2018

08:50	Organisational - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Miha Zgubic (University of Oxford (GB)) (until 09:00) (St Anne's College, Mary Ogilvie LT)
08:50	'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) MLHEP2018-Welcome.pdf Oxford-Welcome.pdf
09:00	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30) (St Anne's College, Mary Ogilvie LT)
09:00	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)
09:00	Lectures - Alexey Artemov (Yandex) (until 10:30) ()
09:00	Track 2 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting. - Alexey Artemov (Yandex) ()
10:30	--- Coffee break ---
11:00	Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 12:30) (St Anne's College, Mary Ogilvie LT)
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)) (St Anne's College, Mary Ogilvie LT)
11:00	Seminars - Alexey Artemov (Yandex) (until 12:30) ()
11:00	Track 2 Seminar. Tree Ensembles in practice. - Alexey Artemov (Yandex) ()

09:00	Lectures - Alexey Artemov (Yandex) (until 10:30) (St Anne's College, Mary Ogilvie LT)
09:00	Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation. - Alexey Artemov (Yandex) (St Anne's College, Mary Ogilvie LT)
10:30	--- Coffee break ---
11:00	Seminars - Alexey Artemov (Yandex) (until 12:30) (St Anne's College, Mary Ogilvie LT)
11:00	Seminar. Computing gradient by hand. Keras. - Alexey Artemov (Yandex) (St Anne's College, Mary Ogilvie LT)

09:00	Free day (until 21:00) (St Anne's College, Mary Ogilvie LT)
11:00	Free day (until 13:00) ()

09:00	Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 10:30) (St Anne's College, Mary Ogilvie LT)
09:00	Lecture. Probability density estimation. Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
10:30	--- Coffee break ---
11:00	Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 12:30) (St Anne's College, Mary Ogilvie LT)
11:00	Seminar. Tensorflow, Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)

08:30	Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 09:00) (St Anne's College, Mary Ogilvie LT)
09:00	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30) (St Anne's College, Mary Ogilvie LT)
09:00	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	--- Coffee break ---
11:00	Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 12:30) (St Anne's College, Mary Ogilvie LT)
11:00	Seminar. Hyper-parameter optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)

09:00	Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 10:30) (St Anne's College, Mary Ogilvie LT)
09:00	Lecture. Domain Adaptation (reweighting, flatness, adversarial DA). - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
10:30	--- Coffee break ---
11:00	Seminars -Dr Alexey Artemov (Skoltech, HSE) (until 12:30) (St Anne's College, Mary Ogilvie LT)
11:00	Seminar. NN interpretation. Tips & tweaks. - Dr Alexey Artemov (Skoltech, HSE) (St Anne's College, Mary Ogilvie LT)

09:00

Organisational (until 10:30) (St Anne's College, Mary Ogilvie LT)

12:30	Organisational (until 13:30) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 15:00) (St Anne's College, Mary Ogilvie LT)
13:30	Track 1 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting. - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 15:00) ()
13:30	Track 2 Lecture. Dimensionality reduction. - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) ()
15:00	--- Coffee break ---
15:30	Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 17:00) (St Anne's College, Mary Ogilvie LT)
15:30	Track 1 Seminar. Tree Ensembles in practice - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
15:30	Seminars (until 17:00) ()
15:30	Track 2 Seminar. Graph methods. ()
17:00	Practice - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 17:20) (St Anne's College, Mary Ogilvie LT)
17:00	Competition Introduction - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
17:20	Invited talk - Sascha Caron (Nikhef National institute for subatomic physics (NL)) (until 18:50) (St Anne's College, Mary Ogilvie LT)
19:00	Organisational (until 20:30) (St Anne's College, Mary Ogilvie LT)

12:30	Organisational (until 13:30) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures - Alexey Artemov (Yandex) (until 15:00) (St Anne's College, Mary Ogilvie LT)
13:30	Lecture. Intro into Deep learning. Convolutional Neural Network. - Alexey Artemov (Yandex) (St Anne's College, Mary Ogilvie LT)
15:00	--- Coffee break ---
15:30	Seminars - Alexey Artemov (Yandex) (until 17:00) (St Anne's College, Mary Ogilvie LT)
15:30	Seminar. Image recognition using convolutional neural networks. - Alexey Artemov (Yandex) (St Anne's College, Mary Ogilvie LT)
17:00	Organisational (until 17:15) (St Anne's College, Mary Ogilvie LT)
17:15	Invited talk (until 18:45) (St Anne's College, Mary Ogilvie LT)
19:00	Extra session on gradient boosting (optional) - Maxim Borisyak (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)

14:00	Free day (until 15:00) ()
15:00	Free day (until 16:00) ()
16:00	Free day (until 17:00) ()

12:30	Organisational (until 13:30) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 15:00) (St Anne's College, Mary Ogilvie LT)
13:30	Lecture. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
15:00	--- Coffee break ---
15:30	Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 17:00) (St Anne's College, Mary Ogilvie LT)
15:30	Seminar. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
17:00	Organisational (until 17:15) (St Anne's College, Mary Ogilvie LT)
17:15	Invited talk (until 18:15) (St Anne's College, Mary Ogilvie LT)

12:30	Organisational (until 13:30) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 15:00) (St Anne's College, Mary Ogilvie LT)
13:30	Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
15:00	--- Coffee break ---
15:30	Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 17:00) (St Anne's College, Mary Ogilvie LT)
15:30	Seminar. Tuning PYTHIA. - Maxim Borisyak (Yandex School of Data Analysis (RU)) (St Anne's College, Mary Ogilvie LT)
17:00	Organisational (until 17:15) (St Anne's College, Mary Ogilvie LT)
17:15	Invited talk (until 18:45) (St Anne's College, Mary Ogilvie LT)
19:00	--- Drinks Reception ---
19:45	--- School Dinner ---

12:30	Organisational (until 13:30) (St Anne's College, Mary Ogilvie LT)
13:30	Lectures (until 15:00) (St Anne's College, Mary Ogilvie LT)
13:30	Lecture. RNN: GRU + LSTM + Jet recognition. (St Anne's College, Mary Ogilvie LT)
15:00	--- Coffee break ---
15:30	Invited talk - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)) (until 17:00) (St Anne's College, Mary Ogilvie LT)
17:00	Organisational (until 17:15) (St Anne's College, Mary Ogilvie LT)
17:15	Invited talk (until 18:45) (St Anne's College, Mary Ogilvie LT)

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