The Conference on Uncertainty in Artificial Intelligence (UAI)

Dates: July 23 – 27, 2014
Location: Quebec City, Canada

The Conference on Uncertainty in Artificial Intelligence (UAI) is the premier international conference on research related to representation, inference, learning and decision making in the presence of uncertainty within the field of Artificial Intelligence. UAI is supported by the Association for Uncertainty in Artificial Intelligence (AUAI).

The 30th UAI (UAI 2014) will be held in Quebec City, Quebec, Canada, at the Quebec City Convention Centre, from July 23 to 27th 2014. The conference will be located close in time and location with the AAAI 2014 and CogSci 2014 conferences.

UAI Schedule Overview

July 23th – 27th, 2014

All the conference talks will be held in the Room 306AB on the third level of the Quebec City Convention Centre. Poster sessions, breakfast and coffee breaks will be located in the Hall 310.

Wednesday July 23th – Tutorial Day

Room: 308AB

7:45-8:30am Breakfast
8:30-10:20am “Random Perturbations for Inference” by Tamir Hazan
10:20-10:40am Coffee Break
10:40-12:30pm “Learning Tractable Probabilistic Models” by Pedro Domingos and Daniel Lowd
12:30–2:00pm Lunch (on your own)
2:00–3:50pm “Probabilistic Programming” by Avi Pfeffer
3:50–4:10pm Coffee Break
4:10pm–6pm “Probabilistic Inference in Relational Models” by Dan Suciu and Guy Van den Broeck
6:00–7:00pm Reception: Hall 306
Thursday, July 24 – Conference Day 1

Room: 306AB

7:45–8:30am Breakfast
8:30-8:40am Welcome & Opening Remarks
8:40–9:40am Keynote Talk: David Blei
9:40-10:30am Session 1: Topic Models and Nonparametric Bayes (2 Talks)
10:30-11:00am Coffee Break
11:00-12:15pm Session 2: Bayesian Methods and Regression (3 Talks)
12:15-2:00pm Lunch (on your own)
2:00-3:00pm Keynote Talk: Craig Boutillier
3:00-3:50pm Session 3: Decision Theory (2 Talks)
3:50-4:15pm Poster Spotlights 1
4:15-4:45pm Coffee Break
4:15-6:15pm Poster Session 1
Friday, July 25 – Conference Day 2

Room: 306AB

8:30–9:30am Keynote Talk: Michael Littman
9:30-10:45am Session 4: Markov Decision Processes and Reinforcement Learning (3 Talks)
10:45-11:15am Coffee Break
11:15-12:30pm Session 5: Causal Discovery (3 Talks)
12:30–2:15pm Lunch (on your own)
2:15-3:00pm Inference Competition Report
3:00-3:50pm Session 6: Approximate Inference (2 Talks)
3:50-4:15pm Poster Spotlights 2
4:15-4:45pm Coffee Break
4:15-6:15pm Poster Session 2
7:00pm Conference Banquet: Les Voutes du Cavour (38, rue St-Pierre, Quebec; 16 min walk from the Quebec City Convention Centre). Banquet Talk: Yann LeCun
Saturday, July 26 – Conference Day 3

Room: 306AB

8:30–9:30am Keynote Talk: Andrew Ng
9:30-10:45am Session 7: Supervised, Semi-Supervised and Active Learning (3 Talks)
10:45-11:15am Coffee Break
11:15-12:30pm Session 8: Structure Learning and Exact Inference (3 Talks)
12:30–2:15pm Lunch (on your own)
2:15-3:00pm Session 9: Optimization Algorithms (3 Talks)
3:00-3:55pm Poster Spotlights 3
3:55-4:30pm Business Meeting
4:15-4:45pm Coffee Break
4:15-6:15pm Poster Session 3
Sunday, July 27 – Workshops Day

Room: 308A, 308B