2016 Summer Seminar for Machine learning

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  • 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 Xing Chao; Aiting Liu; Andy Zhang; 白紫薇 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 Lantian; Yixiang 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 Dong Wang; slides videoIntroduction_to_Evolutionary_Computing.pdf ‎
2016/07/29 Dong Wang Reinforcement learning Dong Wang slides video(part 1) video(part 2) an old but good review state-of-the-art course
2016/08/02 Dong Wang Optimization Caixia; slides video(part 1) video(part 2) Convex optimization I Convex optimization II