Yang's research group wiki

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===Schedule=== 
[[reading::reference_material| List of reference materials...]]

^Reading ^Week	^Discussion Leader	^Topic  ^
|3	|7/2-7/8	|Xiangxiang	|SVM |
|4,5	|7/9-7/15	|Min	        |Learning Theory, Regularization, Model Selection|
|6,7a |7/16-7/22	|Jing	        |Perceptron, Unsupervised Learning,k-means|
|7b,8	|7/23-7/29	|Jialin	        |Gaussian Mixture, EM|
|9	|7/30-8/5	|Xinyu	        |Factor Analysis|
|10,11	|8/6-8/12	|Yang	        |PCA, ICA|
|12	|8/13-8/19	|Yajie	        |Reinforcement Learning|


^Reading ^Week	^Discussion Leader	^Topic  ^
|6.1-3|8/20-8/26|Lichen	|Deep forward network I |
|6.4-6|8/27-8/2|Jialin      |Deep forward network II|
|7.1-7.7|9/3-9/9 |Lu	|Regularization for Deep Learning I|
|7.8-7.14|9/10-9/16 |Yang |Regularization for Deep Learning II|
|8.1-8.3|9/17-9/23 |Fei   |Optimization for Training Deep Models I|
|8.4-8.7|10/9-10/13 |Yajie|Optimization for Training Deep Models II|
|9.1-9.5|10/16-10/20 |Mingyang|Convolutional networks I|
|9.6-9.11|10/23-10/27  | Jing	|Convolutional networks II|
|10.1-10.5| 10/30-11/3 | Rui	|Sequence Modeling: Recurrent and Recursive Nets I|
|10.6-10.10|11/6-11/10 | Jialin |Sequence Modeling: Recurrent and Recursive Nets II|	
|11|11/13-11/17| Xinyu|Practical methodology|


^Week	^Discussion Leader	^Topic  ^ Reading ^ Slides ^
|11/27|Yang	|Functional map representations | {{ :functional_map.pdf  }} | {{ reading:fmap.pptx }} |
|12/18 | Mingyang | GAN and Wasseristein GAN | {{ reading:gan.pdf}} {{ reading:wasserstein_gan.pdf}} | {{ reading:wgan介绍.pdf }} |
|1/19|Lichen | Collaborative Filtering & Recommendation System | (See Slides) |{{reading:reading_group.pptx}}|
|TBA| Fei | Monte Carlo methods for deep learning | | |
|TBA| Xiangxiang | ACE review | | |
|TBA|    | AI plays video games | | |
|TBA|   | Autonomous driving | | |
|2018/12/Mid| ZhaoFeng | InfoClustering | | |