My PhD Thesis, Performative Prediction: Theory and Practice
My google scholar, [link]
List of Papers:
Revisiting the Predictability of Performative, Social Events
JCP
International Conference on Machine Learning (ICML), 2025
Inducing Efficient and Equitable Professional Networks through Link Recommendations
Cynthia Dwork*, Chris Hays*, Lunjia Hu*, Nicole Immorlica*, JCP*
preprint 2025
The Value of Prediction in Identifying the Worst-Off
Unai Fischer-Abaigar, Cristoph Kern, JCP
International Conference on Machine Learning (ICML) 2025 [spotlight award]
Foundations of Responsible Computing (FORC) 2025 [highlights track]
From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs
Cynthia Dwork*, Chris Hays*, Nicole Immorlica*, JCP*, Pranay Tankala*
Conference on Learning Theory (COLT) 2025
Difficult Lessons on Social Prediction from Wisconsin Public Schools
JCP, Tolani Britton, Moritz Hardt, Rediet Abebe
ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2025
Large Scale Transfer Learning for Tabular Data via Language Modeling
Joshua P. Gardner, JCP, Ludwig Schmidt
Advances in Neural Information Processing Systems (Neurips) 2024
[Model] [Code]
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares
Gavin Brown*, Jonathan Hayase*, Sam Hopkins*, Weihao Kong*, Xiyang Liu*, Seewong Oh*, JCP*, Adam Smith*
Conference on Learning Theory (COLT) 2024
non-archival track at Foundations of Responsible Computing (FORC) 2024
The Relative Value of Prediction in Algorithmic Decision Making
JCP
International Conference on Machine Learning (ICML) 2024
non-archival track at Foundations of Responsible Computing (FORC) 2024
A Complete Characterization of Linear Estimators for Offline Policy Evaluation
JCP, Akshay Krishnamurthy, Peter Bartlett, Sham Kakade
Journal of Machine Learning Research (JMLR) 2023
Making Decisions under Outcome Performativity
Michael P. Kim*, JCP*
Innovations in Theoretical Computer Science (ITCS) 2023
Globally Convergent Policy Search over Dynamic Filters for Output Estimation
Jack Umenberger, Max Simchowitz, JCP, Kaiqing Zhang, Russ Tedrake
Advances in Neural Information Processing Systems (Neurips) 2022
Stabilizing Dynamical Systems via Policy Gradient Methods
JCP, Jack Umenberger, Max Simchowitz
Advances in Neural Information Processing Systems (Neurips) 2021
Towards a Dimension-Free Understanding of Adaptive Linear Control
JCP, Max Simchowitz, Alekh Agarwal, Peter Bartlett
Conference on Learning Theory (COLT) 2021
Outside the Echo Chamber: Optimizing the Performative Risk
John Miller*, JCP*, Tijana Zrnic*
International Conference on Machine Learning (ICML) 2021
non-archival track at Foundations of Responsible Computing (FORC) 2021
Stochastic Optimization for Performative Prediction
Celestine Mendler-Dunner*, JCP*, Tijana Zrnic* , and Moritz Hardt
Advances in Neural Information Processing Systems (Neurips) 2020
Performative Prediction
JCP*, Tijana Zrnic*, Celestine Mendler-Dunner, and Moritz Hardt
International Conference on Machine Learning (ICML) 2020
Robust Attacks against Multiple Classifiers
JCP, Yaron Singer
manuscript 2019
* equal contribution, or alphabetical ordering