Understanding the acceleration phenomenon via high-resolution differential equations
Shi, Bin, Du, Simon S., Jordan, Michael I., Su, Weijie J.
Published in Mathematical programming (01.09.2022)
Published in Mathematical programming (01.09.2022)
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Journal Article
Gaussian differential privacy
Dong, Jinshuo, Roth, Aaron, Su, Weijie J.
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.02.2022)
Published in Journal of the Royal Statistical Society. Series B, Statistical methodology (01.02.2022)
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Journal Article
A law of data separation in deep learning
He, Hangfeng, Su, Weijie J.
Published in Proceedings of the National Academy of Sciences - PNAS (05.09.2023)
Published in Proceedings of the National Academy of Sciences - PNAS (05.09.2023)
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Journal Article
The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
Wang, Hua, Yang, Yachong, Su, Weijie J.
Published in IEEE transactions on information theory (01.08.2022)
Published in IEEE transactions on information theory (01.08.2022)
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Journal Article
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Bu, Zhiqi, Klusowski, Jason M., Rush, Cynthia, Su, Weijie J.
Published in IEEE transactions on information theory (01.01.2021)
Published in IEEE transactions on information theory (01.01.2021)
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Journal Article
Benign Overfitting and Noisy Features
Li, Zhu, Su, Weijie J., Sejdinovic, Dino
Published in Journal of the American Statistical Association (02.10.2023)
Published in Journal of the American Statistical Association (02.10.2023)
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Journal Article
DETECTING MULTIPLE REPLICATING SIGNALS USING ADAPTIVE FILTERING PROCEDURES
Wang, Jingshu, Gui, Lin, Su, Weijie J, Sabatti, Chiara, Owen, Art B
Published in The Annals of statistics (01.08.2022)
Published in The Annals of statistics (01.08.2022)
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Journal Article
Deep Learning with Gaussian Differential Privacy
Bu, Zhiqi, Dong, Jinshuo, Long, Qi, Su, Weijie J
Published in Harvard data science review (01.01.2020)
Published in Harvard data science review (01.01.2020)
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Journal Article
Federated f-Differential Privacy
Zheng, Qinqing, Chen, Shuxiao, Long, Qi, Su, Weijie J
Published in Proceedings of machine learning research (01.04.2021)
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Published in Proceedings of machine learning research (01.04.2021)
Journal Article
Bridging the Gap: Rademacher Complexity in Robust and Standard Generalization
Xiao, Jiancong, Sun, Ruoyu, Long, Qi, Su, Weijie J
Published in Proceedings of machine learning research (2024)
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Published in Proceedings of machine learning research (2024)
Journal Article
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Zheng, Qinqing, Dong, Jinshuo, Long, Qi, Su, Weijie J
Published in Proceedings of machine learning research (01.07.2020)
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Published in Proceedings of machine learning research (01.07.2020)
Journal Article