Weijie Su

Most-cited papers

A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su, Stephen P. Boyd, E. Candès
2014Journal of machine learning research1,445 citations
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Understanding the acceleration phenomenon via high-resolution differential equations
Bin Shi, S. Du, Michael I. Jordan, Weijie Su
2018Mathematical programming360 citations Open access
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SLOPE—ADAPTIVE VARIABLE SELECTION VIA CONVEX OPTIMIZATION
M. Bogdan, E. van den Berg, C. Sabatti, Weijie Su +1 more
2014Annals of Applied Statistics321 citations Open access
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Deep Learning with Gaussian Differential Privacy
Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie Su
2019Harvard data science review267 citations Open access
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Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training
Cong Fang, Hangfeng He, Qi Long, Weijie Su
2021Proceedings of the National Academy of Sciences of the United States of America240 citations Open access
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False Discoveries Occur Early on the Lasso Path
Weijie Su, M. Bogdan, E. Candès
2015arXiv.org210 citations Open access
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SLOPE is Adaptive to Unknown Sparsity and Asymptotically Minimax
Weijie Su, E. Candès
2015arXiv.org151 citations Open access
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Acceleration via Symplectic Discretization of High-Resolution Differential Equations
Bin Shi, S. Du, Weijie Su, Michael I. Jordan
2019Neural Information Processing Systems143 citations
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Supplementary materials for Statistical Estimation and Testing via the Sorted ` 1 Norm
M. Bogdan, E. van den Berg, Weijie Su, E. Candès
2013102 citations
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Gaussian Di ↵ erential Privacy
Jinshuo Dong, Aaron Roth, Weijie Su
2019101 citations
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The alignment property of SGD noise and how it helps select flat minima: A stability analysis
Lei Wu, Mingze Wang, Weijie Su
2022Neural Information Processing Systems82 citations Open access
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Federated f-Differential Privacy
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie Su
2021International Conference on Artificial Intelligence and Statistics75 citations
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On Learning Rates and Schrödinger Operators
Bin Shi, Weijie Su, Michael I. Jordan
2020Journal of machine learning research71 citations
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Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu +20 more
202366 citations
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The Local Elasticity of Neural Networks
Hangfeng He, Weijie Su
2019International Conference on Learning Representations55 citations
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Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng, Hangfeng He, Weijie Su
2020International Conference on Machine Learning54 citations
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Familywise error rate control via knockoffs
Lucas Janson, Weijie Su
201552 citations Open access
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The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
Lei Wu, Weijie Su
2023International Conference on Machine Learning51 citations Open access
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Group SLOPE - adaptive selection of groups of predictors
Damian Brzyski, Alexej Gossmann, Weijie Su, M. Bogdan
2016Journal of the American Statistical Association47 citations Open access
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Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Zhiqi Bu, J. Klusowski, Cynthia Rush, Weijie Su
2019IEEE Transactions on Information Theory45 citations Open access
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Oneshot Differentially Private Top-k Selection
Gang Qiao, Weijie Su, Li Zhang
2021International Conference on Machine Learning44 citations
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Uncertainty Quantification for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Weijie Su, Yuan-Cheng Zhu
201839 citations
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Benign Overfitting and Noisy Features
Zhu Li, Weijie Su, D. Sejdinovic
2020arXiv.org35 citations Open access
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Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
F. Yang, Hongyang Zhang, Sen Wu, Christopher Ré +1 more
2020Journal of machine learning research32 citations
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Differentially Private False Discovery Rate Control
C. Dwork, Weijie Su, Li Zhang
2018Journal of Privacy and Confidentiality32 citations Open access
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Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie Su
2021Journal of machine learning research31 citations
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Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions
Qing-Yuan Zhao, Dylan S. Small, Weijie Su
2017Journal of the American Statistical Association31 citations Open access
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Weighted Training for Cross-Task Learning
Shuxiao Chen, K. Crammer, Han He, Dan Roth +1 more
2021International Conference on Learning Representations30 citations
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On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Yizhou Liu, Weijie Su, Tongyang Li
2022Quantum29 citations Open access
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Assumption Lean Regression
R. Berk, A. Buja, L. Brown, E. George +3 more
2018American Statistician29 citations Open access
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Private False Discovery Rate Control
C. Dwork, Weijie Su, Li Zhang
2015arXiv.org28 citations
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Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie Su
2020International Conference on Machine Learning27 citations
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Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen, Hangfeng He, Weijie Su
2020Neural Information Processing Systems25 citations
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When is the first spurious variable selected by sequential regression procedures?
Weijie Su
2017Biometrika25 citations Open access
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A Power Analysis for Knockoffs with the Lasso Coefficient-Difference Statistic
A. Weinstein, Weijie Su, M. Bogdan, R. F. Barber +1 more
202023 citations
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Statistical inference for the population landscape via moment‐adjusted stochastic gradients
Tengyuan Liang, Weijie Su
2017Journal of The Royal Statistical Society Series B-statistical Methodology23 citations Open access
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Edgeworth Accountant: An Analytical Approach to Differential Privacy Composition
Hua Wang, Sheng-yang Gao, Huanyu Zhang, Milan Shen +2 more
2022Journal of the American Statistical Association22 citations Open access
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A Central Limit Theorem for Differentially Private Query Answering
Jinshuo Dong, Weijie Su, Lin-Jun Zhang
2021Neural Information Processing Systems21 citations
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Layer-Peeled Model: Toward Understanding Well-Trained Deep Neural Networks
Cong Fang, Hangfeng He, Qi Long, Weijie Su
2021arXiv.org20 citations
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HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
Weijie Su, Yuan-Cheng Zhu
2018Journal of machine learning research19 citations
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The FDR-Linking Theorem.
Weijie Su
201819 citations
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On the Convergence of Deep Learning with Differential Privacy
Zhiqi Bu, Hua Wang, Qi Long, Weijie Su
2021arXiv.org17 citations
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DETECTING MULTIPLE REPLICATING SIGNALS USING ADAPTIVE FILTERING PROCEDURES
Jingshu Wang, Lin Gui, Weijie Su, C. Sabatti +1 more
2016Annals of Statistics16 citations Open access
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Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Weijie Su, Yuan-Cheng Zhu
2018arXiv.org15 citations
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When does SGD favor flat minima? A quantitative characterization via linear stability
Lei Wu, Mingze Wang, Weijie Su
2022arXiv.org12 citations Open access
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Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie Su
2020International Conference on Machine Learning12 citations
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A power analysis for model-X knockoffs with ℓp-regularized statistics
A. Weinstein, Weijie Su, M. Bogdan, Rina Foygel Barber +1 more
2023Annals of Statistics11 citations
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The Price of Competition: Effect Size Heterogeneity Matters in High Dimensions
Hua Wang, Ya-Chong Yang, Weijie Su
2020IEEE Transactions on Information Theory11 citations Open access
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Isotonic mechanism for exponential family estimation in machine learning peer review
Yuling Yan, Weijie Su, Jian-Qing Fan
2023Journal of The Royal Statistical Society Series B-statistical Methodology10 citations Open access
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Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit
Zhiqi Bu, J. Klusowski, Cynthia Rush, Weijie Su
2021Annals of Statistics9 citations Open access
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