Juan C. Perdomo
Assistant Professor of Computer Science, Engineering, and Data Science
Develops foundations of machine learning for social settings, including performative prediction and feedback loops between people and algorithms.
Juan C. Perdomo's lab at NYU works in Machine Learning. 13 papers since 2023. 1 PhD student. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 0%
- PhD students
- 1
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 0
- 3 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- develops foundations0 papers
- settings0 papers
- feedback0 papers
- people0 papers
- tandon0 papers
Paper list
From the lab homepage.
20264 papers
- Foundations of Responsible Computing (FORC)Defensive Generation (opens in a new tab)
- Foundations of Responsible Computing (FORC)Inducing Efficient and Equitable Professional Networks through Link Recommendations (opens in a new tab)
- Advances in Neural Information Processing Systems (Neurips)On the Meta-Design of Allocation Problems (opens in a new tab)
- Advances in Neural Information Processing Systems (Neurips)The Stability of Online Algorithms in Performative Prediction (opens in a new tab)
20254 papers
- ACM Conference on Fairness, Accountability, and Transparency (FAccT)Difficult Lessons on Social Prediction from Wisconsin Public Schools (opens in a new tab)
- Conference on Learning Theory (COLT)From Fairness to Infinity: Outcome-Indistinguishable (Omni)Prediction in Evolving Graphs (opens in a new tab)
- International Conference on Machine Learning (ICML)Revisiting the Predictability of Performative, Social Events (opens in a new tab)
- International Conference on Machine Learning (ICML)The Value of Prediction in Identifying the Worst-Off (opens in a new tab)
20243 papers
- Conference on Learning Theory (COLT)Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares (opens in a new tab)
- Advances in Neural Information Processing Systems (Neurips)Large Scale Transfer Learning for Tabular Data via Language Modeling (opens in a new tab)
- International Conference on Machine Learning (ICML)The Relative Value of Prediction in Algorithmic Decision Making (opens in a new tab)
20232 papers
- Journal of Machine Learning Research (JMLR)A Complete Characterization of Linear Estimators for Offline Policy Evaluation (opens in a new tab)
- Innovations in Theoretical Computer Science (ITCS)Making Decisions under Outcome Performativity (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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