[Artificial Intelligence and Statistics Logo] Artificial Intelligence and Statistics 2014

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AISTATS*2014 Schedule

Main details:

The online proceedings and the abstracts of highlight talks are available through the Talks and Papers page.

Monday, 21 April

17:00-20:00 Registration


Tuesday, 22 April

8:00-9:00 Registration

9:00-10:00 Keynote: Peter Bühlmann, High-dimensional Causal Inference

Session chair: Jukka Corander

10:00-11:15 Paper Session 1 - Gaussian processes

Session chair: Aki Vehtari

11:15-13:25 Poster Session 1

See the list of posters.

13:25-15:25 Lunch break

(Poster session may continue into the lunch break if needed)

15:25-17:05 Paper Session 2 - Graphical models

Session chair: Helene Massam

17:05-17:35 Coffee

17:35-18:50 Paper Session 3 - Inference for data from mixed sources

Session chair: Antti Honkela

Wednesday, 23 April

8:00-9:00 Registration

9:00-10:00 Keynote: Andrew Gelman, Weakly Informative Priors: When a little information can do a lot of regularizing

Session chair: Mark Girolami

10:00-11:15 Paper Session 4 - Scientific data analysis

Session chair: Guido Sanguinetti

11:15-11:45 Coffee

11:45-13:00 Paper Session 5 - Active and online learning

Session chair: Marc Deisenroth

13:00-16:00 Lunch break

The visit to the Blue Lagoon has two departure times, depending on whether you registered for the conference dinner and bath, or for the conference dinner only.

16:30 Bus leaves from Grand Hotel (front entrance) for Blue Lagoon, including bath

18:15 Bus leaves from Grand Hotel (front entrance) for Blue Lagoon, for dinner only

19:00-22:00 Dinner at Blue Lagoon


Thursday, 24 April

8:00-9:00 Registration

9:00-10:00 Keynote: Michael I. Jordan, On the Computational and Statistical Interface and "Big Data"

Session chair: Samuel Kaski

10:00-11:15 Paper Session 6 - Deep and large-scale learning

Session chair: Nir Ailon

11:15-11:45 Coffee

11:45-13:00 Paper Session 7 - Kernel methods and matrix factorization

Session chair: Matthew Blaschko

13:00-15:00 Lunch break

15:00-16:40 Paper Session 8 - Approximative inference and Monte Carlo methods

Session chair: Christian Robert

16:40-17:10 Coffee

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

See the list of AISTATS posters.


Friday, 25 April

8:00-9:00 Registration

9:00-11:00 Tutorial 1: Roderick Murray-Smith, Machine Learning and Human Computer Interaction

11:00-11:30 Coffee

11:30-13:30 Tutorial 2: Christian P. Robert, Approximate Bayesian computation (ABC), methodology and applications

13:30-15:00 Lunch break

15:00-17:00 Tutorial 3: Håvard Rue, Bayesian computing with INLA

17:30-20:00 MLSS Poster session


Sunday, 27 April

The following schedule items apply to people who registered for the optional AISTATS/MLSS Conference tour to the Golden Circle.

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.
This site last compiled Sat, 15 Aug 2020 17:30:09 +0000
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