‪Jeffrey Li‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	188	188
h-index	4	4
i10-index	3	3

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2019202020212022202320241 17 34 66 51 19

Co-authors

Ameet TalwalkarCMUVerified email at cmu.edu
Gregory PlumbCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Sebastian CaldasPh.D. Student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Mikhail KhodakCMUVerified email at cs.princeton.edu
Valerie ChenCarnegie Mellon UniversityVerified email at cmu.edu
Joon Sik KimPhD at Carnegie Mellon University ; ML Research @ DynamoFLVerified email at alumni.cmu.edu

Jeffrey Li

Jeffrey Li

University of Washington

Verified email at cs.washington.edu

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Differentially private meta-learning J Li, M Khodak, S Caldas, A Talwalkar arXiv preprint arXiv:1909.05830, 2019	122	2019
Interpretable machine learning: Moving from mythos to diagnostics V Chen, J Li, JS Kim, G Plumb, A Talwalkar Communications of the ACM 65 (8), 43-50, 2022	43	2022
A learning theoretic perspective on local explainability J Li, V Nagarajan, G Plumb, A Talwalkar arXiv preprint arXiv:2011.01205, 2020	15	2020
Towards connecting use cases and methods in interpretable machine learning V Chen, J Li, JS Kim, G Plumb, A Talwalkar arXiv preprint arXiv:2103.06254 20, 36, 2021	8	2021
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision J Li, J Zhang, L Schmidt, AJ Ratner Advances in Neural Information Processing Systems 36, 2024		2024

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