Moritz Hardt

I'm a director at the Max Planck Institute for Intelligent Systems. Prior to joining the institute, I was Associate Professor for Electrical Engineering and Computer Sciences at the University of California, Berkeley. My research contributes to the scientific foundations of machine learning and algorithmic decision making with a focus on social questions.

Writing

For papers and preprints, see Google Scholar, Semantic Scholar, or arXiv.
Patterns, predictions, and actions: A story about machine learning with Recht
Fairness and machine learning: Limitations and opportunities with Barocas and Narayanan
Optimization lecture notes from a graduate class at Berkeley
Software I contributed to: folktables, whynot, unbuch, PrivateMultiplicativeWeights.jl

Advising

Students: Frances Ding, Chloe Hsu, Meena Jagadeesan, Lydia T. Liu, John Miller, Smitha Milli, Juan C. Perdomo, Yu Sun, Tijana Zrnic

Former postdocs: Kevin T. Baker, Celestine Mendler-Dünner, Ludwig Schmidt

Former interns: Yair Carmon, Chiyuan Zhang, Roy Frostig, Tengyu Ma, Mary Wootters

Teaching

Fall 2021, 2020, 2019: CS 281A Statistical Learning Theory
Spring 2020: Data 102
Spring 2019: CS 294 Machine Learning in Social Dynamics
Fall 2018: CS 189 Introduction to Machine Learning
Spring 2018: EE 227C Convex Optimization and Approximation
Fall 2017: CS 294 Fairness in Machine Learning

Activities

Co-founder and co-organizer of FATML (Workshop on Fairness, Accountability, and Transparency in Machine Learning)
Co-founder and co-organizer of the Workshop on Adaptive Data Analysis
Action editor for JMLR, former editor for Theory of Computing

Contact

Address:
Max Planck Institut für Intelligente Systeme
Max-Planck-Ring 4
72076 Tübingen
Germany

Office: N1.024