Recent Doctoral Topics Courses

Each semester we offer special topic courses to our Ph.D. students. These courses encourage our Ph.D. students to engage, learn and discuss advanced topics in a relaxed setting.

GR6701 Probabilistic Models and Machine Learning; Instructor: Genevera Allen
GR8201 Statistical Analysis-Neural Data; Instructor: Liam Paninski
Coming Soon: Additional Topics Courses for Fall 2024
 
GR8101 Interpretable ML; Instructor: Genevera Allen
GR8301 Probability III; Instructor: Philip Protter
GR8401 Field Experiments & Machine Learning; Instructors: David Blei and Donald P. Green
 
GR8101 Deep and Generalized Probabilistic Modeling; Instructor: John P. Cunningham
GR8201 Statistical Analysis-Neural Data; Instructor: Liam Paninski
GR8201 Robust Statistics; Instructor:Marco A Avella Medina
GR8201 Statistical Inference and Algorithms in Graphing; Instructor: Emmanuel Abbe