Teaching schedule

Fall 2020         CSE 103 (remote)         Probability and statistics for computer scientists
Fall 2020         CSE 291 (remote)         Probabilistic approaches to unsupervised learning
Spring 2021         CSE 101 (remote)         Algorithms
Spring 2021         CSE 291 (remote)         Continual learning

Webpages of some courses from previous years:

CSE 101 Algorithms
CSE 103 Probability and statistics
CSE 151 Machine learning
CSE 250B Machine learning
CSE 254 Seminar: inference in graphical models
CSE 254 Seminar: embeddings
CSE 254 Seminar: deep learning
CSE 254 Seminar: neurally-inspired unsupervised learning
CSE 254 Seminar: deep unsupervised learning
CSE 291 Probabilistic AI
CSE 291 Learning theory I (supervised learning)
CSE 291 Topics in unsupervised learning
CSE 291 Bayesian methods
CSE 291 Geometric algorithms
CSE 291 Topics in learning theory
CSE 291 Distances, similarities, and embeddings