ML@UiO

Thursday 1 Jun 2017, 09:30 → 17:30 Europe/Zurich

Helga Engs Hus Lecture Theatre 1 (University of Oslo)

09:30 → 10:00 Coffee

10:00 → 10:10 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

10:10 → 10:35 Bayesian approach to recommender systems

Speaker: Arnoldo Frigessi (University of Oslo (NO))

FRIGESSI.pdf

FRIGESSI.ppt

10:35 → 11:10 A novel GMJMCMC algorithm for Bayesian Logic Regression models

Speaker: Aliaksandr Hubin (University of Oslo (NO))

HUBIN.pdf

11:10 → 11:35 Strategies to handle mandatory covariates using model- and likelihood-based boosting

Speaker: Riccardo De Bin (University of Oslo (NO))

DEBIN.pdf

11:35 → 12:10 Robotics and Intelligent Systems

Speaker: Jim Tørresen (University of Oslo (NO))

ROBIN-May2017-ML@UiO-1June-2017.pdf

12:10 → 13:10 Lunch

13:10 → 13:35 The Optique project: linking analytics and data access

Speaker: Martin Giese (University of Oslo (NO))

GIESE.pdf

13:35 → 14:00 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))

14:00 → 14:25 Credit scoring by deep learning on time series

Speaker: Håvard Kvamme (University of Oslo)

haavard_kvamme_MLatUiO.pdf

14:25 → 14:45 Can machine learning help us solve challenges in low energy nuclear physics?

Speaker: Gry Tveten (University of Oslo (NO))

Tveten.pdf

14:45 → 15:15 Experimental high energy particle physics

Speaker: James Catmore (University of Oslo (NO))

ML-Oslo2.pdf

15:15 → 15:45 Education: relevant courses at UiO

15:45 → 16:25 Discussion and exchange of ideas

ml_discussion.pdf