Name: ML@UiO
Start: 2017-06-01T09:30:00+02:00
End: 2017-06-01T17:30:00+02:00
Location: University of Oslo

- 09:30
  
  Coffee
- 1
  
  Welcome and introduction
  
  Speakers: Heidi Sandaker (University of Oslo (NO)), James Catmore (University of Oslo (NO))
  
  UiO: Data Science research community launch event
  
  Welcome_ML_010617.pdf
- 2
  
  Bayesian approach to recommender systems
  
  Speaker: Arnoldo Frigessi (University of Oslo (NO))
  
  FRIGESSI.pdf
  
  FRIGESSI.ppt
- 3
  
  A novel GMJMCMC algorithm for Bayesian Logic Regression models
  
  Speaker: Aliaksandr Hubin (University of Oslo (NO))
  
  HUBIN.pdf
- 4
  
  Strategies to handle mandatory covariates using model- and likelihood-based boosting
  
  Speaker: Riccardo De Bin (University of Oslo (NO))
  
  DEBIN.pdf
- 5
  
  Robotics and Intelligent Systems
  
  Speaker: Jim Tørresen (University of Oslo (NO))
  
  ROBIN-May2017-ML@UiO-1June-2017.pdf
- 12:10
  
  Lunch
- 6
  
  The Optique project: linking analytics and data access
  
  Speaker: Martin Giese (University of Oslo (NO))
  
  GIESE.pdf
- 7
  
  A portfolio of machine learning intensive startups at Campus UiO: How can the research and the startup communities interact to create growth?
  
  Speakers: Nils Christophersen (University of Oslo (NO)), Tobias Dahl (University of Oslo (NO))
- 8
  
  Credit scoring by deep learning on time series
  
  Speaker: Håvard Kvamme (University of Oslo)
  
  haavard_kvamme_MLatUiO.pdf
- 9
  
  Can machine learning help us solve challenges in low energy nuclear physics?
  
  Speaker: Gry Tveten (University of Oslo (NO))
  
  Tveten.pdf
- 10
  
  Experimental high energy particle physics
  
  Speaker: James Catmore (University of Oslo (NO))
  
  ML-Oslo2.pdf
- 11
  
  Education: relevant courses at UiO
- 12
  
  Discussion and exchange of ideas
  
  ml_discussion.pdf

ML@UiO

Helga Engs Hus Lecture Theatre 1

University of Oslo