Robust Attacks against Multiple Classifiers. - Juan C. Perdomo; Yaron Singer (CoRR, 2019)

Performative Prediction. - Juan C. Perdomo; Tijana Zrnic; Celestine Mendler-Dünner; Moritz Hardt (ICML, 2020)

Stochastic Optimization for Performative Prediction. - Celestine Mendler-Dünner; Juan C. Perdomo; Tijana Zrnic; Moritz Hardt (NeurIPS, 2020)

Towards a Dimension-Free Understanding of Adaptive Linear Control. - Juan C. Perdomo; Max Simchowitz; Alekh Agarwal; Peter L. Bartlett (COLT, 2021)

Outside the Echo Chamber: Optimizing the Performative Risk. - John Miller 001; Juan C. Perdomo; Tijana Zrnic (ICML, 2021)

Stabilizing Dynamical Systems via Policy Gradient Methods. - Juan C. Perdomo; Jack Umenberger; Max Simchowitz (NeurIPS, 2021)

Globally Convergent Policy Search for Output Estimation. - Jack Umenberger; Max Simchowitz; Juan C. Perdomo; Kaiqing Zhang; Russ Tedrake (NeurIPS, 2022)

Globally Convergent Policy Search over Dynamic Filters for Output Estimation. - Jack Umenberger; Max Simchowitz; Juan C. Perdomo; Kaiqing Zhang; Russ Tedrake (CoRR, 2022)

A Sharp Characterization of Linear Estimators for Offline Policy Evaluation. - Juan C. Perdomo; Akshay Krishnamurthy; Peter L. Bartlett; Sham M. Kakade (CoRR, 2022)

Making Decisions Under Outcome Performativity. - Michael P. Kim; Juan C. Perdomo (ITCS, 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)

Performative Prediction: Theory and Practice - Juan C. Perdomo (2023)

Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract. - Gavin Brown 003; Jonathan Hayase; Samuel B. Hopkins 001; Weihao Kong; Xiyang Liu; Sewoong Oh; Juan C. Perdomo; Adam Smith 006 (COLT, 2024)

The Relative Value of Prediction in Algorithmic Decision Making. - Juan Carlos Perdomo (ICML, 2024)

Large Scale Transfer Learning for Tabular Data via Language Modeling. - Josh Gardner 001; Juan C. Perdomo; Ludwig Schmidt (NeurIPS, 2024)

Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares. - Gavin Brown 003; Jonathan Hayase; Samuel B. Hopkins 001; Weihao Kong; Xiyang Liu; Sewoong Oh; Juan C. Perdomo; Adam Smith 006 (CoRR, 2024)

From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs. - Cynthia Dwork; Chris Hays; Nicole Immorlica; Juan C. Perdomo; Pranay Tankala (COLT, 2025)

Difficult Lessons on Social Prediction from Wisconsin Public Schools. - Juan Carlos Perdomo; Tolani Britton; Moritz Hardt; Rediet Abebe (FAccT, 2025)

The Value of Prediction in Identifying the Worst-Off. - Unai Fischer Abaigar; Christoph Kern 001; Juan Carlos Perdomo (CoRR, 2025)

Inducing Efficient and Equitable Professional Networks through Link Recommendations. - Cynthia Dwork; Chris Hays; Lunjia Hu; Nicole Immorlica; Juan C. Perdomo (CoRR, 2025)

Revisiting the Predictability of Performative, Social Events. - Juan C. Perdomo (CoRR, 2025)

In Defense of Defensive Forecasting. - Juan Carlos Perdomo; Benjamin Recht (CoRR, 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; et al. (CoRR, 2025)