Juan C. Perdomo

According to our database, Juan C. Perdomo authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

An Efficient Black-Box Reduction from Online Learning to Multicalibration, and a New Route to Φ-Regret Minimization.

Gabriele Farina, Juan Carlos Perdomo

CoRR, April, 2026

The Stability of Online Algorithms in Performative Prediction.

Gabriele Farina, Juan Carlos Perdomo

CoRR, February, 2026

Defensive Generation.

Gabriele Farina, Juan Carlos Perdomo

CoRR, February, 2026

Empirically Understanding the Value of Prediction in Allocation.

Unai Fischer Abaigar, Emily Aiken, Christoph Kern, Juan Carlos Perdomo

CoRR, February, 2026

Inducing Efficient and Equitable Professional Networks Through Link Recommendations.

Cynthia Dwork, Chris Hays, Lunjia Hu, Nicole Immorlica, Juan C. Perdomo

Proceedings of the 7th Symposium on Foundations of Responsible Computing, 2026

2025

Bridging Prediction and Intervention Problems in Social Systems.

Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson

CoRR, July, 2025

In Defense of Defensive Forecasting.

Juan Carlos Perdomo, Benjamin Recht

CoRR, June, 2025

Revisiting the Predictability of Performative, Social Events.

Juan Carlos Perdomo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

The Value of Prediction in Identifying the Worst-Off.

Unai Fischer Abaigar, Christoph Kern, Juan Carlos Perdomo

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Difficult Lessons on Social Prediction from Wisconsin Public Schools.

Juan Carlos Perdomo, Tolani Britton, Moritz Hardt, Rediet Abebe

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs.

Cynthia Dwork, Chris Hays, Nicole Immorlica, Juan C. Perdomo, Pranay Tankala

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares.

Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith

CoRR, 2024

Large Scale Transfer Learning for Tabular Data via Language Modeling.

Josh Gardner, Juan C. Perdomo, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The Relative Value of Prediction in Algorithmic Decision Making.

Juan Carlos Perdomo

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract.

Gavin Brown, Jonathan Hayase, Samuel B. Hopkins, Weihao Kong, Xiyang Liu, Sewoong Oh, Juan C. Perdomo, Adam Smith

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Performative Prediction: Theory and Practice

Juan C. Perdomo

PhD thesis, 2023

A Complete Characterization of Linear Estimators for Offline Policy Evaluation.

Juan C. Perdomo, Akshay Krishnamurthy, Peter L. Bartlett, Sham M. Kakade

J. Mach. Learn. Res., 2023

Making Decisions Under Outcome Performativity.

Michael P. Kim, Juan C. Perdomo

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022

A Sharp Characterization of Linear Estimators for Offline Policy Evaluation.

Juan C. Perdomo, Akshay Krishnamurthy, Peter L. Bartlett, Sham M. Kakade

CoRR, 2022

Globally Convergent Policy Search over Dynamic Filters for Output Estimation.

Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake

CoRR, 2022

Globally Convergent Policy Search for Output Estimation.

Jack Umenberger, Max Simchowitz, Juan C. Perdomo, Kaiqing Zhang, Russ Tedrake

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Stabilizing Dynamical Systems via Policy Gradient Methods.

Juan C. Perdomo, Jack Umenberger, Max Simchowitz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Outside the Echo Chamber: Optimizing the Performative Risk.

John Miller, Juan C. Perdomo, Tijana Zrnic

Proceedings of the 38th International Conference on Machine Learning, 2021

Towards a Dimension-Free Understanding of Adaptive Linear Control.

Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter L. Bartlett

Proceedings of the Conference on Learning Theory, 2021

2020

Stochastic Optimization for Performative Prediction.

Celestine Mendler-Dünner, Juan C. Perdomo, Tijana Zrnic, Moritz Hardt

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Performative Prediction.

Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Robust Attacks against Multiple Classifiers.

Juan C. Perdomo, Yaron Singer

CoRR, 2019