DATE

 ML Reading Group (4-5pm)

Pattern Theory Talk: (12-1pm)

Wed

9/23

Ren: Intro to CNN / R-CNN

Nicolas Garcia-Trillos (Brown)

Wed

9/30

Shaobo: Properties of Deep Learning Network (notes)

Wed

10/7

Jeroen: Deep Learning + Graphical Models. (RBM)

Ben Kunsberg (Brown)

Wed

10/14

Jun: Deep Learning in Robotics (End-to-End Training of Deep Visuomotor Policies)

Rachel Ward (UT Austin)

Wed

10/21

Mike: Convex Optimization

(stochastic average gradient)

Emery Brown (MIT/Harvard)

Wed

10/28

Ahmad: PAC-Learning (book)

Wed

11/4

Everyone: open source code review   (CVPR Deadline)

David Jensen (UMass Amherst)

Wed

11/11

Leah: a cool paper from NIPS 2015(paper)

Wed

11/18

Kav: “Introduction to Reinforcement Learning”(slides)

Samuel Kou (Harvard)

Wed

11/25

Thanksgiving holiday.

Wed

12/2

Mike: Practice Talk for Workshop at NIPS

Joe Austerweil (Brown)