Courses

Courses/classes, materials

Carnegie Mellon University

Probabilistic Graphical Models
Spring 2020

Lecturer: Prof. Eric Xing
10-708
  • Lecture 23: Dirichlet Process
    notes 
Convex Optimization
Spring 2020

Lecturer: Prof. Yuanzhi Li
10-725
Deep Reinforcement Learning for Robotics
Spring 2020

Lecturer: Prof. David Held
16-881
Deep Reinforcement Learning (PhD)
Fall 2019

Lecturer: Prof. Katerina Fragkiadaki
10-703
Introduction to Machine Learning (PhD)
Spring 2019

Lecturers: Prof. Leila Wehbe & Prof. Aaditya Ramdas
10-701
Pattern Recognition Theory
Fall 2020

Lecturers: Prof. Marios Savvides
18-794