Stanford University

• Spring 2024: Machine Learning for Discrete Optimization (MS&E 236 / CS 225)
• Spring 2023: Machine Learning for Algorithm Design (MS&E/CS 331)
• Fall 2022, 2023: Introduction to Probability (MS&E 120)

Tutorials

• Machine Learning for Discrete Optimization:Theoretical Guarantees and Applied Frontiers
  AAAI 2024
  [slides] [animated slides]
• Machine Learning for Algorithm Design:Theoretical Guarantees and Applied Frontiers
  Cargese-Porquerolles Workshop on Combinatorial Optimization
  [slides]
• New Frontiers of Automated Mechanism Design for Pricing and Auctions
  with Nina Balcan and Tuomas Sandholm
  ICML 2018, STOC 2019, EC 2019, AAAI 2019-2021
  [website]