MLHEP 2015 summer school

Session

Advanced track

27 Aug 2015, 09:40

Academic University

Conveners

Advanced track: lectures

• Victor Kitov (MSU)

Advanced track: seminars

• Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

Advanced track: lectures #2

• Victor Kitov (MSU)

Advanced track: seminars #2

• Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

Advanced track: lectures #3

• Victor Kitov (MSU)

Advanced track: seminars #3

• Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

Advanced track: lectures #4

• Victor Kitov (MSU)

Advanced track: seminars #4

• Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

5. Reminder about major algorithms. Advanced aspects of their use. Model evaluation.

27/08/2015, 09:40

6. Feature selection. Regularization.

27/08/2015, 11:20

9. MLHEP introduction. ML vs MLHEP: correlation and agreement restrictions

Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))

27/08/2015, 13:45

10. sPlot technique. ML on sPlot data.

27/08/2015, 15:40

13. model ensembling #1

28/08/2015, 09:30

14. model ensembling #2

28/08/2015, 11:10

17. Brave new boosting world: flatness boosting

28/08/2015, 13:45

18. Brave new boosting world: reweighing boosting. Iterative learning

28/08/2015, 15:40

22. Linear dimensionality reduction.

29/08/2015, 09:30

23. Non-linear dimensionality reduction. Kernel trick. Common kernels.

29/08/2015, 11:10

26. Meta Algorithms Applications in HEP.

29/08/2015, 13:45

27. Hypotheses testing.

29/08/2015, 15:40

31. Kernelized algorithms: SVM, regression, K-NN, PCA and their properties.

30/08/2015, 09:00

32. Deep learning. Different kinds of learning.

30/08/2015, 10:40

35. Summary: HEP ML analysis sketch, from data to discovery.

30/08/2015, 13:00

36. My own first NN using theano.

30/08/2015, 14:45