Donghwan Lee

20192020202120222023202420251 2 1 6 13 52 6

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Edgar DobribanStatistics & Computer Science, University of PennsylvaniaVerified email at upenn.edu
Hamed HassaniUniversity of Pennsylvania (EE, CS, Stat)Verified email at seas.upenn.edu
Xinmeng HuangPhD, University of PennsylvaniaVerified email at sas.upenn.edu
Behrad MoniriUniversity of PennsylvaniaVerified email at seas.upenn.edu
Hamsa BastaniAssociate Professor of Operations Information and Decisions, Wharton SchoolVerified email at wharton.upenn.edu

Donghwan Lee

Verified email at sas.upenn.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks B Moniri, D Lee, H Hassani, E Dobriban International Conference on Machine Learning (ICML 2024), 2023	27	2023
T-Cal: An Optimal Test for the Calibration of Predictive Models D Lee, X Huang, H Hassani, E Dobriban Journal of Machine Learning Research 24 (2023), 2022	22	2022
Demystifying Disagreement-on-the-Line in High Dimensions D Lee, B Moniri, X Huang, E Dobriban, H Hassani International Conference on Machine Learning (ICML 2023), 2023	12	2023
Faster Linear Transformations in , Revisited JH Cheon, H Choe, D Lee, Y Son IEEE Access 7, 50595-50604, 2019	12	2019
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints X Huang, D Lee, E Dobriban, H Hassani Advances in Neural Information Processing Systems (NeurIPS 2022), 2022	7	2022
Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity X Huang, K Xu, D Lee, H Hassani, H Bastani, E Dobriban Journal of the American Statistical Association, 1-26, 2024	2*	2024
STATISTICAL AND HIGH-DIMENSIONAL PERSPECTIVES ON MACHINE LEARNING D Lee University of Pennsylvania, 2024		2024

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