Reading group on selected topics in Statistical Machine Learning

Schedule: Mondays 2:40 - 4:00pm, 438 West Hall

Faculty Organizers Anna Gilbert// Long Nguyen// Shuheng Zhou

Webmaster: Seyoung Park (pseyoung@umich.edu)

Schedule
Week    Date    Topic Papers Presenter
3 Sept 15 Introduction
4 Sept 22 Introduction to Deep Learning [list] [Tutorial] [book1 ] Alexander Giessing
5 Sept 29 TBD TBD Matus Telgarsky
6 Oct 6 Unsupervised Learning by Deep Scattering Contractions [MXS14] Anna Gilbert
7 Oct 13 TBD TBD TBD
8 Oct 20 Playing Atari with Deep Reinforcement Learning [VKD13] Sardar Ansari
9 Oct 27 TBD TBD Joseph Borja
10 Nov3 An exact mapping between the Variational Renormalization Group and Deep Learning TBD Alexander Giessing, Seyoung Park
11 Nov10 TBD TBD TBD
12 Nov17 TBD TBD TBD
13 Nov 24 TBD TBD TBD
14 Dec 1 TBD TBD Shuheng Zhou

References

Usuful links

[MXS14] Unsupervised learning by Deep Scattering Contractions Chen,M.X., Cheng,X., and Mallat,S.
[SM12] Group Invariant Scattering Mallat,S. Communications on Pure and Applied Mathematics, Vol. LXV, 1331-1398(2012)
[BM13] Invariant Scattering Convolution Networks Bruna,J and Mallat,S. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCES, VOL.35, NO.8.
[VKD13] Playing Atari with Deep Reinforcement Learning Volodymyr Mnih et al.
[list] General reading list on deep learning
[Tutorial] Tutorial on deep learning
[book1 ] Deep Learning: Methods and Applications Li Deng and Dong Yu
[talk ] Talk by Andrew Ng on Deep Learning at the "Robotics: Science and Systems Conference 2014"(RSS2014) Andrew Ng