Publications
* denotes equal contribution. Also see my Google Scholar profile.
Journal Articles
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How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review
Nature Computational Science, 2026
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Rejoinder: The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
Journal of the American Statistical Association, 2026
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The ICML 2023 Ranking Experiment: Examining Author Self-Assessment in ML/AI Peer Review
Journal of the American Statistical Association, 2025
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The 2020 United States Decennial Census Is More Private Than You (Might) Think
Proceedings of the National Academy of Sciences, 2025
Conference Proceedings
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Mitigating the Privacy–Utility Trade-off in Decentralized Federated Learning via f-Differential Privacy
Neural Information Processing Systems (NeurIPS), 2025
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Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy
Neural Information Processing Systems (NeurIPS), 2023
Preprints
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Supervised Finetuning with Synthetic Rationale Data Hurts Real-World Disease Prediction
arXiv:2606.10279, 2026
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Recommending Best Paper Awards for ML/AI Conferences via the Isotonic Mechanism
arXiv:2601.15249, 2026
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On Self-Training of Summary Data with Genetic Applications
arXiv:2503.12155, 2025
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The Exact Risks of Reference Panel-Based Regularized Estimators
Under revision at the Journal of the American Statistical Association, 2024