OPEN HOUSE on Multi-Task and Complex Outputs Learning

Learning Nonparametric Priors from Multiple Tasks

author: Shipeng Yu, University of Munich

Categories

Top: Computer Science: Machine Learning: Statistical Learning

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*Slides*
0:00	Learning Nonparamatric Priors from Multiple Tasks
0:42	Multi-Task Learning
1:44	A Ranking Problem
2:22	A Multi-Task Ranking Problem
3:26	Multi-Task Ranking Problem
4:13	Outline
4:41	Ranking Problem
6:24	Ordinal Regression
7:29	One-task vs Multi-task
8:44	Outline
9:04	Bayesian Ordinal Regression
10:49	Graphical Model
11:55	Ranking Likelihood (1)
12:46	Ranking Likelihood (2)
13:45	Outline
13:53	Multi-Task Setting?
15:00	Bayesian Ordinal Regression
15:35	Multi-Task Setting?
16:31	Collaborative Ordinal Regression
17:56	COR: The Model
18:35	COR: Graphical Model
19:22	COR: The Key Points
20:57	Toy Problem (GPR Model)
23:35	Learning
25:21	E-step
26:55	Learning
27:15	Ranking Likelihood (1)
27:28	Ranking Likelihood (2)
28:28	E-step
29:09	M-step
30:32	Inference
32:34	Inductive Inference
34:07	Inductive Inference (Cont.)
35:04	Outline
35:06	Experiments
36:20	Comparison Metrics
38:07	Results - MovieLens
41:41	Results - EachMovie
42:42	New Ranking Functions
43:47	Observations
44:25	Multi-label Text Categorization
45:09	Multi-label Text Categorization
45:26	Outline
45:29	Conclusion
45:49	Extensions
47:12	Related Work: Multi-Task Learning
47:22	Related Work: Rank Learning
47:33	Thanks!

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