Program

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Organization

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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
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
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
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
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
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
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
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
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

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