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
AM
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)
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)
PM
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)