Fourth Machine Learning in High Energy Physics Summer School 2018

Session

Seminars

6 Aug 2018, 11:00

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

Conveners

Seminars: Day 1 Seminars (Track 1)

• Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 1 Seminars (Track 1)

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 2 Seminars

• Alexey Artemov (Yandex)

Seminars: Day 2 seminrs

• Alexey Artemov (Yandex)

Seminars: Day 4 Seminars

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 4 Seminars

• Nikita Kazeev (Yandex School of Data Analysis (RU))

Seminars: Day 5 Seminars

• Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 5 Seminars

• Maxim Borisyak (Yandex School of Data Analysis (RU))

Seminars: Day 6 Seminars

• Alexey Artemov (Skoltech, HSE)

29. Track 1 Seminar. Introduction into Decision Trees. Python ML stack recap (numpy, scikit-learn, pandas).

Maxim Borisyak (Yandex School of Data Analysis (RU))

06/08/2018, 11:00

31. Track 1 Seminar. Tree Ensembles in practice

Nikita Kazeev (Yandex School of Data Analysis (RU))

06/08/2018, 15:30

32. Seminar. Computing gradient by hand. Keras.

Alexey Artemov (Yandex)

07/08/2018, 11:00

13. Seminar. Image recognition using convolutional neural networks.

Alexey Artemov (Yandex)

07/08/2018, 15:30

37. Seminar. Tensorflow, Variational Autoencoder.

Nikita Kazeev (Yandex School of Data Analysis (RU))

09/08/2018, 11:00

46. Seminar. Generative Adversarial Networks.

Nikita Kazeev (Yandex School of Data Analysis (RU))

09/08/2018, 15:30

55. Seminar. Hyper-parameter optimization.

Maxim Borisyak (Yandex School of Data Analysis (RU))

10/08/2018, 11:00

39. Seminar. Tuning PYTHIA.

Maxim Borisyak (Yandex School of Data Analysis (RU))

10/08/2018, 15:30

41. Seminar. NN interpretation. Tips & tweaks.

Dr Alexey Artemov (Skoltech, HSE)

11/08/2018, 11:00

8. Course technicalities, working environment

24. Deep learning III

Mr Alexander Panin (Yandex School of Data Analysis (RU))

25. Deep learning IV

Mr Alexander Panin (Yandex School of Data Analysis (RU))

27. Deep neural networks

Alexander Panin (Yandex School of Data Analysis (RU))

16. Ensemble algorithms, dimensionality reduction

Random forest, gradient boosting, PCA

21. Feature engineering and selection

Nikita Kazeev (Yandex School of Data Analysis (RU))

Flatness boosting and reweighting

17. Hyperparameters search

12. Model evaluation

Overfitting, Cross-validation

9. Python for data analysis; Probability density estimation

numpy, root_numpy, pandas, matplotlib

35. Seminar 6. Image recognition using convolutional neural networks.

53. Seminar. Graph Models (MPNN).

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

20. Shallow neural networks

Alexander Panin (Yandex School of Data Analysis (RU))