MLSS Schedule

Details of the social program will be provided on its separate page.

Thursday 24 April

All events on Thursday April 24 take place in Grand Hotel.

15:00-17:00 Registration

17:10-20:00 Joint MLSS/AISTATS Poster Session (with some food)

• See the instructions for MLSS posters
• See also the list of AISTATS posters.

Friday 25 April

Update: the Friday program on this page was previously incorrect - times and order of the ABC tutorial, coffee and lunch break were incorrect. The AISTATS website had the correct schedule. The schedule has now been corrected.

April 25 is a joint tutorial day of AISTATS and the MLSS Machine Learning Summer School. See the tutorials page for the abstracts of the tutorials.

All events on Friday April 25 take place in Grand Hotel.

8:00-9:00 Registration

9:00-11:00 Tutorial: Roderick Murray-Smith, Machine learning and Human Computer Interaction

11:00-11:30 Coffee

11:30-13:30 Tutorial: Christian P. Robert, Approximate Bayesian computation (ABC), methodology and applications

13:30-15:00 Lunch break

15:00-17:00 Tutorial: Håvard Rue, Bayesian computing with INLA

17:30-20:00 MLSS Poster session

Saturday 26 April

From Saturday 26 April onwards all MLSS events except social outings take place at Reykjavik University.

8:00-9:00 Registration

9:00-10:30 Neil Lawrence: Introduction to Machine Learning

Material

10:30-11:00 Coffee

11-12:30 Neil Lawrence: Introduction to Machine Learning

Material

12:30-14:00 Lunch

14:00-15:30 Yoshua Bengio: Deep Learning

Material

15:30-16:00 Coffee

16:00-17:30 Yoshua Bengio: Deep Learning

Material

Evening: Night out in town.

Sunday 27 April

8:30-9:00 Registration

9:00-10:30 Iain Murray: Probabilistic Modeling

Material

10:30-11:00 Coffee

11:00-12:30 Yoshua Bengio: Deep Learning

Material

12:45 Bus leaves Reykjavik University (front entrance) for Golden Circle tour

13:00 Pickup at Grand Hotel for Golden Circle tour

19:30 Return to Reykjavik

Note: Golden Circle tour includes lunch. Alternatives are Reykjavik walking tours, times TBA.

Monday 28 April

8:30-9:00 Registration

9:00-10:30 Iain Murray: Probabilistic Modeling

Material

10:30-11:00 Coffee

11:00-12:30 Iain Murray: Probabilistic Modeling

Material

12:30-14:00 Lunch break

14:00-15:30 Amr Ahmed: Big Data and Large Scale Inference

Material

15:30-16:00 Coffee

16:00-17:30 Amr Ahmed: Big Data and Large Scale Inference

Material

19:00-21:00 MLSS Reception

Location: Kaffi Reykjavik, 2nd Floor, see the map on the social program page.

Tuesday 29 April

8:30-9:00 Registration

9:00-10:30 Michael Betancourt: Hamiltonian Monte Carlo and Stan

Material

10:30-11:00 Coffee

11:00-12:30 Michael Betancourt: Hamiltonian Monte Carlo and Stan

Material

12:30-14:00 Lunch break

14:00-15:30 Jean-Philippe Vert: Kernel Methods and Computational Biology

Material

15:30-16:00 Coffee

16:00-17:30 Jean-Philippe Vert: Kernel Methods and Computational Biology

Material

Evening: Michael Betancourt: Interactive workshop continues

Material

Wednesday 30 April

8:30-9:00 Registration

9:00-10:30 Jean-Philippe Vert: Kernel Methods and Computational Biology

Material

10:30-11:00 Coffee

11:00-12:30 Frank Wood: Probabilistic Programming and Bayesian Nonparametrics

Material

12:30-14:00 Lunch break

14:00-15:30 David Silver: Reinforcement Learning

15:30-16:00 Coffee

16:00-17:30 David Silver: Reinforcement Learning

Thursday 1 May

8:30-9:00 Registration

9:00-10:30 Frank Wood: Probabilistic Programming and Bayesian Nonparametrics

Material

10:30-11:00 Coffee

11:00-12:30 Frank Wood: Probabilistic Programming and Bayesian Nonparametrics

Material

12:30-14:00 Lunch break

14:00-15:30 David Silver: Reinforcement Learning

15:30-16:00 Coffee

16:00-17:30 Ralf Herbrich: Applications of Large Scale Graphical Models

Material

20:00-22:00 Pub Quiz at Studentakjallarin

Location: Stúdentakjallarinn. See the map on the social program page.

Friday 2 May

8:30-9:00 Registration

9:00-10:30 Ralf Herbrich: Applications of Large Scale Graphical Models

Material

10:30-11:00 Coffee

11:00-12:30 Jeff A. Bilmes: Submodularity and Optimization

Material

12:30-14:00 Lunch break

14:00-15:30 Jeff A. Bilmes: Submodularity and Optimization

Material

15:30-16:00 Coffee

16:00-17:30 Mark Girolami: Advanced Topics in Markov Chain Monte Carlo

Material

Saturday 3 May

8:30-9:00 Registration

9:00-10:30 Mark Girolami: Advanced Topics in Markov Chain Monte Carlo

Material

10:30-11:00 Coffee

11:00-12:30 Jeff A. Bilmes: Submodularity and Optimization

Material

12:30-14:00 Lunch

14:00-18:00 Hiking trip to Esjan (weather permitting)

Sunday 4 May

8:30-9:00 Registration

9:00-10:30 Chris Holmes: Robust Inference

Material

10:30-11:00 Coffee

11:00-12:30 Chris Holmes: Robust Inference

Material

12:30-14:00 Lunch

14:00-15:30 Timo Koski: Theoretical Issues in Statistical Learning

Material

15:30-16:00 Coffee

16:00-17:30 Timo Koski: Theoretical Issues in Statistical Learning

Material