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
AM
8:50 AM
Organisational - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Miha Zgubic (University of Oxford (GB)) (until 9:00 AM) (St Anne's College, Mary Ogilvie LT)
8:50 AM '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)
9:00 AM
Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30 AM) (St Anne's College, Mary Ogilvie LT)
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))   (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
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))   (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
9:00 AM Lecture. Introduction into Neural Network models. Multi-layered Perceptron. Backpropagation. - Alexey Artemov (Yandex)   (St Anne's College, Mary Ogilvie LT)
10:30 AM --- Coffee break ---
11:00 AM
Seminars - Alexey Artemov (Yandex) (until 12:30 PM) (St Anne's College, Mary Ogilvie LT)
11:00 AM Seminar. Computing gradient by hand. Keras. - Alexey Artemov (Yandex)   (St Anne's College, Mary Ogilvie LT)
9:00 AM
Free day (until 9:00 PM) (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
9:00 AM Lecture. Probability density estimation. Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
10:30 AM --- Coffee break ---
11:00 AM
Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 12:30 PM) (St Anne's College, Mary Ogilvie LT)
11:00 AM Seminar. Tensorflow, Variational Autoencoder. - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
8:30 AM
Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 9:00 AM) (St Anne's College, Mary Ogilvie LT)
9:00 AM
Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 10:30 AM) (St Anne's College, Mary Ogilvie LT)
9:00 AM 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 AM --- Coffee break ---
11:00 AM
Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 12:30 PM) (St Anne's College, Mary Ogilvie LT)
11:00 AM Seminar. Hyper-parameter optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
9:00 AM
Lectures - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) (until 10:30 AM) (St Anne's College, Mary Ogilvie LT)
9:00 AM Lecture. Domain Adaptation (reweighting, flatness, adversarial DA). - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
10:30 AM --- Coffee break ---
11:00 AM
Seminars -Dr Alexey Artemov (Skoltech, HSE) (until 12:30 PM) (St Anne's College, Mary Ogilvie LT)
11:00 AM Seminar. NN interpretation. Tips & tweaks. - Dr Alexey Artemov (Skoltech, HSE)   (St Anne's College, Mary Ogilvie LT)
9:00 AM
Organisational (until 10:30 AM) (St Anne's College, Mary Ogilvie LT)
PM
12:30 PM
Organisational (until 1:30 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM
Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 3:00 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM Track 1 Lecture. Ensembling: Stacking, RandomForest, AdaBoost, Gradient Boosting. - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
3:30 PM Track 1 Seminar. Tree Ensembles in practice - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
5:00 PM Competition Introduction - Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
5:20 PM
Invited talk - Sascha Caron (Nikhef National institute for subatomic physics (NL)) (until 6:50 PM) (St Anne's College, Mary Ogilvie LT)
7:00 PM
Organisational (until 8:30 PM) (St Anne's College, Mary Ogilvie LT)
12:30 PM
Organisational (until 1:30 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM
Lectures - Alexey Artemov (Yandex) (until 3:00 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM Lecture. Intro into Deep learning. Convolutional Neural Network. - Alexey Artemov (Yandex)   (St Anne's College, Mary Ogilvie LT)
3:00 PM --- Coffee break ---
3:30 PM
Seminars - Alexey Artemov (Yandex) (until 5:00 PM) (St Anne's College, Mary Ogilvie LT)
3:30 PM Seminar. Image recognition using convolutional neural networks. - Alexey Artemov (Yandex)   (St Anne's College, Mary Ogilvie LT)
5:00 PM
Organisational (until 5:15 PM) (St Anne's College, Mary Ogilvie LT)
5:15 PM
Invited talk (until 6:45 PM) (St Anne's College, Mary Ogilvie LT)
7:00 PM Extra session on gradient boosting (optional) - Maxim Borisyak (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
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) (St Anne's College, Mary Ogilvie LT)
1:30 PM
Lectures - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 3:00 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM Lecture. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
3:00 PM --- Coffee break ---
3:30 PM
Seminars - Nikita Kazeev (Yandex School of Data Analysis (RU)) (until 5:00 PM) (St Anne's College, Mary Ogilvie LT)
3:30 PM Seminar. Generative Adversarial Networks. - Nikita Kazeev (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
5:00 PM
Organisational (until 5:15 PM) (St Anne's College, Mary Ogilvie LT)
5:15 PM
Invited talk (until 6:15 PM) (St Anne's College, Mary Ogilvie LT)
12:30 PM
Organisational (until 1:30 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM
Lectures - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 3:00 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM Lecture. Adversarial Optimization (in general), Adversarial Variational Optimization. - Maxim Borisyak (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
3:00 PM --- Coffee break ---
3:30 PM
Seminars - Maxim Borisyak (Yandex School of Data Analysis (RU)) (until 5:00 PM) (St Anne's College, Mary Ogilvie LT)
3:30 PM Seminar. Tuning PYTHIA. - Maxim Borisyak (Yandex School of Data Analysis (RU))   (St Anne's College, Mary Ogilvie LT)
5:00 PM
Organisational (until 5:15 PM) (St Anne's College, Mary Ogilvie LT)
5:15 PM
Invited talk (until 6:45 PM) (St Anne's College, Mary Ogilvie LT)
7:00 PM --- Drinks Reception ---
7:45 PM --- School Dinner ---
12:30 PM
Organisational (until 1:30 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM
Lectures (until 3:00 PM) (St Anne's College, Mary Ogilvie LT)
1:30 PM Lecture. RNN: GRU + LSTM + Jet recognition.   (St Anne's College, Mary Ogilvie LT)
3:00 PM --- Coffee break ---
3:30 PM
Invited talk - Michael Aaron Kagan (SLAC National Accelerator Laboratory (US)) (until 5:00 PM) (St Anne's College, Mary Ogilvie LT)
5:00 PM
Organisational (until 5:15 PM) (St Anne's College, Mary Ogilvie LT)
5:15 PM
Invited talk (until 6:45 PM) (St Anne's College, Mary Ogilvie LT)