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