Simon Shaolei Du

Trích dẫn bởi

	Tất cả	Từ 2020
Trích dẫn	12792	11714
h-index	51	51
i10-index	100	97

2800

1400

700

2100

20172018201920202021202220232024202533 203 787 1406 2036 2431 2753 2667 417

Truy cập công khai

Xem tất cả

63 bài viết

0 bài viết

có sẵn

không có sẵn

Dựa trên yêu cầu tài trợ

Đồng tác giả

Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityEmail được xác minh tại princeton.edu
Ruosong WangAssistant Professor, Peking UniversityEmail được xác minh tại pku.edu.cn
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganEmail được xác minh tại umich.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityEmail được xác minh tại cmu.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoEmail được xác minh tại ttic.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityEmail được xác minh tại cs.cmu.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityEmail được xác minh tại princeton.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUEmail được xác minh tại cs.cmu.edu
Liwei WangProfessor, Peking UniversityEmail được xác minh tại cis.pku.edu.cn
Xiyu ZhaiEmail được xác minh tại mit.edu
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAEmail được xác minh tại ee.ucla.edu
Yuandong TianResearch Scientist, Meta AI (FAIR)Email được xác minh tại fb.com
Sham M KakadeHarvard UniversityEmail được xác minh tại seas.harvard.edu
Zhang ZihanUniversity of WashingtonEmail được xác minh tại uw.edu
Kevin JamiesonAssociate Professor, University of WashingtonEmail được xác minh tại cs.washington.edu
Yining WangAssociate Professor, Naveen Jindal School of Management, University of Texas at DallasEmail được xác minh tại warrington.ufl.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail được xác minh tại cs.berkeley.edu
Qiwen CuiPhD, University of WashingtonEmail được xác minh tại uw.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityEmail được xác minh tại stat.cmu.edu
Keyulu XuMITEmail được xác minh tại mit.edu

Theo dõi

Simon Shaolei Du

Tên khácSimon S. Du, Simon Du

Assistant Professor, School of Computer Science and Engineering, University of Washington

Email được xác minh tại cs.washington.edu - Trang chủ

Machine Learning


Tiêu đề Sắp xếp theo số lượt trích dẫn Sắp xếp theo năm Sắp xếp theo tiêu đề	Trích dẫn bởi Trích dẫn bởi	Năm
Gradient descent finds global minima of deep neural networks SS Du, JD Lee, H Li, L Wang, X Zhai International Conference on Machine Learning 2019, 2018	1443	2018
Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks S Arora, SS Du, W Hu, Z Li, R Wang International Conference on Machine Learning 2019, 2019	1142	2019
On exact computation with an infinitely wide neural net S Arora, SS Du, W Hu, Z Li, RR Salakhutdinov, R Wang Advances in neural information processing systems 32, 2019	1063	2019
Gradient descent provably optimizes over-parameterized neural networks SS Du, X Zhai, B Poczos, A Singh International Conference on Learning Representations 2019, 2018	861	2018
How neural networks extrapolate: From feedforward to graph neural networks K Xu, M Zhang, J Li, SS Du, K Kawarabayashi, S Jegelka International Conference on Learning Representations, 2021	389	2021
Gradient descent can take exponential time to escape saddle points SS Du, C Jin, JD Lee, MI Jordan, A Singh, B Poczos Advances in neural information processing systems 30, 2017	316	2017
What Can Neural Networks Reason About? K Xu, J Li, M Zhang, SS Du, K Kawarabayashi, S Jegelka International Conference on Learning Representations 2020, 2019	315	2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels SS Du, K Hou, B Póczos, R Salakhutdinov, R Wang, K Xu Advances in Neural Information Processing Systems 2019, 2019	311	2019
Understanding the acceleration phenomenon via high-resolution differential equations B Shi, SS Du, MI Jordan, WJ Su Mathematical Programming, 1-70, 2022	296	2022
On the power of over-parametrization in neural networks with quadratic activation SS Du, JD Lee International Conference on Machine Learning 2018, 2018	293	2018
Few-shot learning via learning the representation, provably SS Du, W Hu, SM Kakade, JD Lee, Q Lei International Conference on Learning Representations, 2021	292	2021
Provably efficient RL with rich observations via latent state decoding SS Du, A Krishnamurthy, N Jiang, A Agarwal, M Dudík, J Langford International Conference on Machine Learning 2019, 2019	283	2019
Algorithmic regularization in learning deep homogeneous models: Layers are automatically balanced SS Du, W Hu, JD Lee Advances in neural information processing systems 31, 2018	256	2018
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima SS Du, JD Lee, Y Tian, B Poczos, A Singh International Conference on Machine Learning 2018, 2017	256	2017
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? SS Du, SM Kakade, R Wang, LF Yang International Conference on Learning Representation 2020, 2019	253	2019
Bilinear classes: A structural framework for provable generalization in rl S Du, S Kakade, J Lee, S Lovett, G Mahajan, W Sun, R Wang International Conference on Machine Learning, 2826-2836, 2021	247	2021
Stochastic variance reduction methods for policy evaluation SS Du, J Chen, L Li, L Xiao, D Zhou International Conference on Machine Learning 2017, 2017	215	2017
Harnessing the power of infinitely wide deep nets on small-data tasks S Arora, SS Du, Z Li, R Salakhutdinov, R Wang, D Yu International Conference on Learning Representations 2020, 2019	198	2019
Optimism in reinforcement learning with generalized linear function approximation Y Wang, R Wang, SS Du, A Krishnamurthy International Conference on Learning Representations, 2021	182	2021
Computationally efficient robust estimation of sparse functionals SS Du, S Balakrishnan, A Singh Conference on Learning Theory, 2017, 2017	167*	2017

Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.

Bài viết 1–20

Trích dẫn mỗi năm

Trích dẫn trùng lặp

Trích dẫn được hợp nhất

Thêm đồng tác giảĐồng tác giả

Theo dõi

Trích dẫn bởi

Đồng tác giả