My PhD Thesis, Performative Prediction: Theory and Practice


Difficult Lessons on Social Prediction from Wisconsin Public Schools
JCP, Tolani Britton, Moritz Hardt, Rediet Abebe
preprint, 2023

A Complete Characterization of Linear Estimators for Offline Policy Evaluation
JCP, Akshay Krishnamurthy, Peter Bartlett, Sham Kakade
Journal of Machine Learning Research (JMLR), 2023 (to appear)

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

Universal Noise Models in Machine Learning
undergraduate thesis, awarded the Thomas J. Hoopes Prize

* equal contribution, alphabetical ordering