Teaching - Yisong Yue

CS 159: Advanced Topics in Machine Learning

Large Language Models for Reasoning (Spring 2025)
Large Language Models for Reasoning (Spring 2024)
Representation Learning for Science (Spring 2022)
Predictive Control & Neural Network Theory (Spring 2021)
Data-Driven Algorithm Design (Spring 2020)
Deep Probabilistic Models (Spring 2019)
Imitation and Reinforcement Learning (Spring 2018)

CS 155: Machine Learning & Data Mining

Tutorials

Neurosymbolic Programming Summer School, co-taught Architecture Search Module with Swarat Chaudhuri and Jennifer Sun. [link]
Imitation Learning, co-taught with Hoang Le, presented at ICML 2018. [link]