Ph.D. Dissertations - Jacob Steinhardt
Natural Language Explanations of Dataset Patterns
Ruiqi Zhong [2025]
Scalable Auditing for AI Safety
Erik Jones [2025]
Steering Machine Learning Ecosystems of Interacting Agents
Meena Jagadeesan [2025]
Re-examining Metrics for Success in Machine Learning, from Fairness and Interpretability to Protein Design
Frances Ding [2024]
Towards Reliable Causal Machine Learning for Macroeconomics
David Bruns-Smith [2024]
Learning and Decision-Making in Complex Environments
Alexander Wei [2023]
Machine Learning Safety
Daniel Hendrycks [2022]