Theme:

• This reading groups cover statistical learning methods in Bayesian computing, vision/imaging analysis, tensor methods and causal inference.

Organizers:

• Jian Kang (Biostatistics)
• Hui Jiang (Biostatistics)

• Zhenke Wu (Biostatistics)

• Email List:
  • stat.learning.computing@umich.edu
  • Requests stat.learning.computing-requests@umich.edu
• Time: Tuesdays 4-5pm (January 15th to April 23rd, 2019)
• Location: M4117 SPH-II

Announcements

• [01/04/2019] Please sign-up for paper(s) and date(s) to present.

Collaborative Scheduling

• Please sign up here

Resources

• Reading group tips for presenters and listeners (courtesy Lester Mackey, Percy Liang and their groups + Causal Inference Reading Group at Berkeley)
• Because this page is hosted on github, feel free to link to extra resources by pull requests.