UAI Schedule Overview
July 11th – 15th
All the conference talks and banquet will be held in Grand Ballroom B and C on the Third Level of the Westin Hotel. Poster sessions will be held in the foyer area outside the Grand Ballroom.
Thursday July 11th - Tutorial Day
Room: Grand Ballroom C
8:00-9:50am | 1. Polynomial Methods in Learning and Statistics |
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10:00-11:50am | 2. Large-Scale Distributed Machine Learning with GraphLab |
1:30-3:20pm | 3. Statistical Methods in Genomics |
3:30-5:20pm | 4. Computational Advertising & Causality |
Friday July 12th - Conference Day 1
7:30 - 8:30am | Breakfast |
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8:30am | Welcome & Opening Remarks |
8:40am | Keynote Talk: Never Ending Learning |
9:40am | Section 1: Classification |
10:30am | Coffee Break |
11:00am | Section 2: Structure Learning |
12:15pm | Lunch (on your own) |
2:00pm | Section 3a: Stochastic Processes |
2:50pm | Section 3b: Novel Modeling Approaches |
3:40pm | Poster Spotlights 1 |
4pm - 6pm | Poster Session 1 and Coffee Break |
7:00pm | Conference Banquet. Banquet Talk: Research and Consumer Products - Yoky Matsuoka |
Saturday July 13th - Conference Day 2
7:30 - 8:30am | Breakfast |
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8:30am | Keynote Talk: Bayesian Learning in Online Service: Statistics Meets Systems |
9:40am | Session 4: Ranking and Semi-Supervised Learning |
10:30am | Coffee Break |
11:00am | Session 5: Inference Algorithms |
12:15pm | Lunch (on your own) |
2:00pm | Session 6a: Causal Models |
2:50pm | Session 6b: Learning |
3:40pm | Poster Spotlights 2 |
4pm - 6pm | Poster Session 2 and Coffee Break |
Sunday July 14th - Conference Day 3
7:30 - 8:30am | Breakfast |
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8:30am | Keynote Talk: Modeling Common-Sense Scene Understanding with Probabilistic Programs |
9:40am | Session 7: Modeling Human Behavior |
10:30am | Coffee Break |
11:00am | Session 8: Markov Decision Processes |
12:15pm | Lunch (on your own) |
2:00pm | Session 9: Inference Algorithms |
3:15pm | Business meeting |
3:40pm | Poster Spotlights 3 |
4pm - 6pm | Poster Session 3 and Coffee Break |
Monday July 15th - Workshop Day
Room: Lake Washington A
Bayes Application Workshop I: Big Data meets Complex Models
8:30am | Combined Applications Workshop Introductions |
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9:00 - 10:15 | Session 1: Extracting information about individuals from complex data |
10:15 - 10:30 | Coffee Break |
10:30 - 11:45 | Session 2: Combining Learning and Expert Opinion |
11:45 - 13:00 | Break (lunch on your own) |
Bayes Application Workshop II: Spatial, Temporal, and Network Models
13:00 - 14:30 | Session 3 |
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14:30 - 14:45 | Coffee Break |
14:45 - 15:45 | Session 4 |
15:45 - 16:00 | Coffee Break |
16:00 - 17:00 | Combined Applications Workshop Wrap-up and Planning Discussion |
Room: Lake Chelan
Approaches to Causal Structure Learning Workshop
8:45 - 10:00 | Session 1 |
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10:00 - 10:30 | Coffee Break |
10:30 - 12:15 | Session 2 |
12:15 - 14:00 | Break (lunch on your own) |
14:00 - 15:25 | Session 3 |
15:25 - 15:35 | Poster Spotlights |
15:35 - 16:50 | Posters |
16:50 - 18:00 | Session 4 |
Room: Lake Coeur d'Alene
New Challenges in E-Commerce Recommendations
8:30 - 9:30 | Alex Smola |
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9:30 - 10:00 | Coffee Break |
10:00 - 12:15 | Oral Presentation 1 |
12:15 - 14:00 | Break (lunch on your own) |
14:00 - 15:00 | Recommendations at Netflix |
15:00 - 15:15 | Coffee Break |
15:15 - 16:45 | Oral Presentation 2 |
16:45 - 17:00 | Panel Discussion |