2016 Summer Seminar for Machine learning

• Location: FIT-1-304

Date	Speaker	Title	Owner	Materials
2016/07/04	Dong Wang	Machine learning overview	Dong Wang	slidesvideo(part 2)Algebra review probability review Gaussian distributionLearning theory
2016/07/05	Dong Wang	Linear models	Aiting Liu; Aodong Li	slides video(part 1) video(part 2) NG's lecture 1 NG's lecture 2
2016/07/08	Dong Wang	Neural networks	Aiting Liu	slides video(part 1) video(part 2)
2016/07/11	Dong Wang	Deep learning (1)	Hang Luo; Jiyuan Zhang; Zhiyuan	slides video(part 1) video(part 2) NIPS 2015 tutorial
2016/07/12	Dong Wang	Deep learning (2)	Hang Luo; Jiyuan Zhang; Zhiyuan	slides video(part 1) video(part 2) Li Deng's ICASSP16 keynote
2016/07/13	Caixia Wang	Kernel methods	Caixia;Ziwei	slides video Kernel method book pattern recognition 6-7
2016/07/18	Yang Feng	Graphical model (1)	Jingyi Lin; Ying Shi; Yang Wang	slides video
2016/07/21	Dong Wang	Graphical model (2)	Jingyi Lin; Ying Shi; Yang Wang	slides video(part 1) video(part 2) Yang's slides Jordan's lecture
2016/07/25	Dong Wang	Unsupervised learning		slides video(part 1) video(part 2) Unsupervised Learning from Zoubin Ghahramani, Cambridge slides from MIT Neural Networks - A Systematic Introduction, Raul Rojas slides from BU manifold slides from MIT
2016/07/26	Dong Wang	Non parametric models	Maoning Wang;	slides video(part 1) video(part 2) Gaussian process Resource for non-parametric Bayesian A good tutorial
2016/07/28	Maoning Wang	Evolutionary learning	Maoning Wang;	slides videoIntroduction_to_Evolutionary_Computing.pdf ‎
2016/07/29	Dong Wang	Reinforcement learning	Chao Xing	slides video(part 1) video(part 2) an old but good review state-of-the-art course
2016/08/02	Dong Wang	Optimization	Caixia;	Convex optimization I Convex optimization II