Jamie Morgenstern
Associate Professor
Studies fairness in machine learning and the interaction of learning algorithms with strategic agents.
Jamie Morgenstern's lab at UW works on trustworthy & safe ML. 10 papers since 2023, 6 at top venues, mostly NeurIPS and AAAI/ACM AIES. 3 PhD students. 7 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 60%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 7
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 5 papers2024 · T1 4
- 5 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, AAAI/ACM AIES, UAI
Research focuspaper titles that use each topic's words
- Trustworthy & safe ML1 paper
- fairness1 paper
- studies fairness0 papers
- strategic0 papers
- learning algorithms0 papers
Paper list
From the lab homepage.
20245 papers
- UAI (T1)Emergent specialization from participation dynamics and multi-learner retraining (opens in a new tab)
- UAI (T1)Fair Active Learning in Low-Data Regimes (opens in a new tab)
- NeurIPS (T1)Initializing services in interactive ml systems for diverse users (opens in a new tab)
- NeurIPS (T1)Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable (opens in a new tab)
- EAAMOWho's in and who's out? A case study of multimodal CLIP-filtering in DataComp (opens in a new tab)
20235 papers
- FORCDistributionally Robust Data Join (opens in a new tab)
- NeurIPS (T1)Doubly Constrained Fair Clustering (opens in a new tab)
- AAAI/ACM AIESEvaluation of targeted dataset collection on racial equity in face recognition
- AAAI/ACM AIESMulticalibrated Regression for Downstream Fairness (opens in a new tab)
- NeurIPS (T1)Scalable Membership Inference Attacks via Quantile Regression (opens in a new tab)
Where alumni went7 listed
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- 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
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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