MLHEP 2015 summer school

27 Aug 2015, 08:00 → 30 Aug 2015, 23:00 Europe/Moscow

Academic University

Khlopin st, 8, Saint Petersburg, Russia

Description

Summer school on Machine Learning in High Energy Physics http://www.hse.ru/mlhep2015/

Thursday, 27 August
- 08:00 → 08:15
  
  Registration
- 08:15 → 09:00
  
  breakfast 45m
- 09:00 → 09:35
  Welcome 204
  
  204
  
  Academic University
  
  Convener: Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
  - 09:00
    
    Welcome to MLHEP 20m
    
    2015-08_MLHEP_Welcome.pdf
  - 09:20
    
    MLHEP Kaggle competition 15m
    
    Speaker: Nikita Kazeev (Yandex School of Data Analysis (RU))
    
    mlhep2015_kaggle_slides.pdf
- 09:35 → 09:40
  
  break 5m
- 09:40 → 12:40
  Advanced track: lectures 206
  
  206
  
  Academic University
  
  Convener: Dr Victor Kitov (MSU)
  - 09:40
    
    Reminder about major algorithms. Advanced aspects of their use. Model evaluation. 1h 20m
    
    Introduction. Model evaluation.pdf
  - 11:00
    
    coffee break 20m
  - 11:20
    
    Feature selection. Regularization. 1h 20m
    
    Feature selection.pdf
- 09:40 → 12:40
  Introductory track: lectures 204
  
  204
  
  Academic University
  
  Convener: Alexey Rogozhnikov
  - 09:40
    
    Intro: General pipeline, ML at a glance 1h 20m
    
    lecture1.pdf
  - 11:00
    
    coffee break 20m
  - 11:20
    
    Intro: kNN, basic overfitting, roc curve, logistic regression 1h 20m
- 12:40 → 13:45
  
  lunch 1h 5m
- 13:45 → 17:10
  Advanced track: seminars 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
  - 13:45
    
    MLHEP introduction. ML vs MLHEP: correlation and agreement restrictions 1h 30m
    
    Speaker: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
    
    seminar1_part1.pdf
  - 15:15
    
    coffee break 25m
  - 15:40
    
    sPlot technique. ML on sPlot data. 1h 30m
    
    seminar1_part2.pdf
- 13:45 → 17:10
  Introductory track: seminars 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Nikita Kazeev (Yandex School of Data Analysis (RU))
  - 13:45
    
    Introduction, course technicalities 1h 30m
    
    1.1 Technicalities and principles.ipynb 1.2 Tools numpy pandas matplotlib - seminar.ipynb
  - 15:15
    
    coffee break 25m
  - 15:40
    
    NumPy, Pandas, Matplotlib 1h 30m
- 17:10 → 17:20
  
  break 10m
- 17:20 → 19:00
  
  Applying Machine Learning to LHC triggers optimization 1h 40m 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Speaker: Mika Anton Vesterinen (Ruprecht-Karls-Universitaet Heidelberg (DE))
  
  Mika_MLHEP.pdf
- 19:00 → 20:30
  
  Welcome dinner 1h 30m
Friday, 28 August
- 08:15 → 09:30
  
  breakfast 1h 15m
- 09:30 → 12:30
  Advanced track: lectures #2 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Dr Victor Kitov (MSU)
  - 09:30
    
    model ensembling #1 1h 20m
  - 10:50
    
    coffee break 20m
  - 11:10
    
    model ensembling #2 1h 20m
- 09:30 → 12:30
  Introductory track: lectures #2 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Alexey Rogozhnikov
  - 09:30
    
    neural networks 1h 20m
    
    lecture2.pdf
  - 10:50
    
    coffee break 20m
  - 11:10
    
    decision tree, regression tree 1h 20m
- 12:30 → 13:45
  
  lunch 1h 15m
- 13:45 → 17:10
  Advanced track: seminars #2 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
  - 13:45
    
    Brave new boosting world: flatness boosting 1h 30m
    
    seminar2.pdf
  - 15:15
    
    coffee break 25m
  - 15:40
    
    Brave new boosting world: reweighing boosting. Iterative learning 1h 30m
- 13:45 → 17:10
  Introductory track: seminars #2 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Nikita Kazeev (Yandex School of Data Analysis (RU))
  - 13:45
    
    Overfitting, Cross-validation 1h 30m
    
    2.1. Basic ML, validation, feature engineering.ipynb
  - 15:15
    
    coffee break 25m
  - 15:40
    
    Sklearn: KNN, decision tree, logistic regression 1h 30m
- 17:10 → 17:30
  
  break 20m
- 17:30 → 19:10
  
  Challenges of searching for physics signatures with a large amount of background 1h 40m 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Speaker: Patrick Haworth Owen (Imperial College Sci., Tech. & Med. (GB))
  
  Patrick_Machine_Learning_in_LHCb.pdf
Saturday, 29 August
- 08:15 → 09:30
  
  breakfast 1h 15m
- 09:30 → 12:30
  Advanced track: lectures #3 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Dr Victor Kitov (MSU)
  - 09:30
    
    Linear dimensionality reduction. 1h 20m
    
    Dimensionality reduction.pdf
  - 10:50
    
    coffee break 20m
  - 11:10
    
    Non-linear dimensionality reduction. Kernel trick. Common kernels. 1h 20m
- 09:30 → 12:30
  Introductory track: lectures #3 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Alexey Rogozhnikov
  - 09:30
    
    Ensembles 1h 20m
    
    lecture3.pdf
  - 10:50
    
    coffee break 20m
  - 11:10
    
    Gradient boosting; boosting to uniformity. 1h 20m
- 12:30 → 13:45
  
  lunch 1h 15m
- 13:45 → 17:10
  Advanced track: seminars #3 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
  - 13:45
    
    Meta Algorithms Applications in HEP. 1h 30m
    
    seminar3_part1.pdf
  - 15:15
    
    coffee break 25m
  - 15:40
    
    Hypotheses testing. 1h 30m
    
    seminar3_part2.pdf
- 13:45 → 17:10
  Introductory track: seminars #3 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Nikita Kazeev (Yandex School of Data Analysis (RU))
  - 13:45
    
    Ensemble algorithms: random forest, gradient boosting 1h 30m
    
    3.1 Ensemble methods - seminar.ipynb COMET_gradient_boosting_gauss_opt.csv
  - 15:15
    
    coffee break 25m
  - 15:40
    
    Hyperparam Optimization 1h 30m
    
    3.2 Hyperparameters optimzation - seminar.ipynb
- 17:10 → 17:30
  
  break 20m
- 17:30 → 19:10
  
  MVA vs cut-and-count techniques in the SM model processes searches and measurements 1h 40m 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Speaker: Lesya Shchutska (University of Florida (US))
  
  SUSY_mva.pdf
Sunday, 30 August
- 08:15 → 09:00
  
  breakfast 45m
- 09:00 → 12:00
  Advanced track: lectures #4 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Dr Victor Kitov (MSU)
  - 09:00
    
    Kernelized algorithms: SVM, regression, K-NN, PCA and their properties. 1h 20m
    
    Kernel trick. Deep learning.pdf
  - 10:20
    
    coffee break 20m
  - 10:40
    
    Deep learning. Different kinds of learning. 1h 20m
    
    Kernel trick. Deep learning.pdf Learning Deep Architectures for AI - Bengio.pdf
- 09:00 → 12:00
  Introductory track: lectures #4 204
  
  204
  
  Academic University
  
  Convener: Alexey Rogozhnikov
  - 09:00
    
    GBDT tuning, reweighting, testing hypotheses, gaussian processes for optimization 1h 20m
    
    lecture4.pdf
  - 10:20
    
    coffee break 20m
  - 10:40
    
    Unsupervised learning, Latent Dirichlet Allocation, PCA. Fast predictions and pruning 1h 20m
- 12:00 → 13:00
  
  lunch 1h
- 13:00 → 16:15
  Advanced track: seminars #4 206
  
  206
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Tatiana Likhomanenko (National Research Centre Kurchatov Institute (RU))
  - 13:00
    
    Summary: HEP ML analysis sketch, from data to discovery. 1h 30m
    
    seminar4_summary.pdf
  - 14:30
    
    coffee break 15m
  - 14:45
    
    My own first NN using theano. 1h 30m
- 13:00 → 16:15
  Introductory track: seminars #4 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Convener: Nikita Kazeev (Yandex School of Data Analysis (RU))
  - 13:00
    
    PCA, RBM and alike on MNIST 1h 30m
    
    4.1 Generative models - seminar.ipynb
  - 14:30
    
    coffee break 15m
  - 14:45
    
    Clustering 1h 30m
    
    4.2. Clustering - seminar.ipynb
- 16:15 → 16:20
  
  break 5m
- 16:20 → 18:00
  
  Multivariate techniques in the Higgs search 1h 40m 204
  
  204
  
  Academic University
  
  Khlopin st, 8, Saint Petersburg, Russia
  
  Speaker: Josh Bendavid (CERN)
  
  mlhep-Aug30-2015.pdf
- 18:00 → 19:00
  
  transfer to the boat 1h
- 19:00 → 22:00
  
  channel cruise + closing dinner + awards 3h
- 22:00 → 23:00
  
  transfer to the hotel 1h

MLHEP 2015 summer school

Academic University

204

Academic University

206

Academic University

204

Academic University

206

Academic University

204

Academic University

204

Academic University

206

Academic University

204

Academic University

206

Academic University

204

Academic University

204

Academic University

206

Academic University

204

Academic University

206

Academic University

204

Academic University

204

Academic University

206

Academic University

204

Academic University

206

Academic University

204

Academic University

204

Academic University

Share this page

Direct link

Social networks

Calendaring

Your browser is out of date!