Yang's research group wiki

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	fmap.pptx
12/18	Mingyang	GAN and Wasseristein GAN	gan.pdf wasserstein_gan.pdf	wgan介绍.pdf
1/19	Lichen	Collaborative Filtering & Recommendation System	(See Slides)	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