Simon Shaolei Du

Sitert av

	Alle	Siden 2019
Sitater	12268	11986
h-indeks	50	50
i10-indeks	94	93

2800

1400

700

2100

2017201820192020202120222023202434 204 792 1422 2036 2420 2550 2737

Offentlig tilgang

Vis alle

59 artikler

0 artikler

tilgjengelige

ikke tilgjengelige

Basert på finansieringsmandater

Medforfattere

Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerifisert e-postadresse på princeton.edu
Ruosong WangAssistant Professor, Peking UniversityVerifisert e-postadresse på pku.edu.cn
Wei HuAssistant Professor of Computer Science and Engineering, University of MichiganVerifisert e-postadresse på umich.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerifisert e-postadresse på cmu.edu
Zhiyuan LiAssistant Professor, Toyota Technological Institute at ChicagoVerifisert e-postadresse på ttic.edu
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityVerifisert e-postadresse på cs.cmu.edu
Sanjeev AroraProfessor of Computer Science, Princeton UniversityVerifisert e-postadresse på cs.princeton.edu
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerifisert e-postadresse på cs.cmu.edu
Liwei WangProfessor, Peking UniversityVerifisert e-postadresse på cis.pku.edu.cn
Xiyu ZhaiVerifisert e-postadresse på mit.edu
Lin F. Yang (杨林)Assistant Professor, Department of Electrical and Computer Engineering @ UCLAVerifisert e-postadresse på ee.ucla.edu
Yuandong TianResearch Scientist, Meta AI (FAIR)Verifisert e-postadresse på fb.com
Sham M KakadeHarvard UniversityVerifisert e-postadresse på seas.harvard.edu
Zhang ZihanUniversity of WashingtonVerifisert e-postadresse på uw.edu
Yining WangAssistant professor, Warrington College of Business, University of FloridaVerifisert e-postadresse på warrington.ufl.edu
Kevin JamiesonAssociate Professor, University of WashingtonVerifisert e-postadresse på cs.washington.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerifisert e-postadresse på cs.berkeley.edu
Qiwen CuiPhD, University of WashingtonVerifisert e-postadresse på uw.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityVerifisert e-postadresse på stat.cmu.edu
Keyulu XuMITVerifisert e-postadresse på mit.edu

Følg

Simon Shaolei Du

Andre navnSimon S. Du, Simon Du

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

Verifisert e-postadresse på cs.washington.edu - Startside

Machine Learning


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
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	1392	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	1090	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	1027	2019
Gradient descent provably optimizes over-parameterized neural networks SS Du, X Zhai, B Poczos, A Singh International Conference on Learning Representations 2019, 2018	836	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	362	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	307	2017
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	301	2019
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	300	2019
On the power of over-parametrization in neural networks with quadratic activation SS Du, JD Lee International Conference on Machine Learning 2018, 2018	287	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	282	2021
Understanding the acceleration phenomenon via high-resolution differential equations B Shi, SS Du, MI Jordan, WJ Su Mathematical Programming, 1-70, 2022	279	2022
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	279	2019
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	251	2019
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	249	2017
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	243	2021
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	237	2018
Stochastic variance reduction methods for policy evaluation SS Du, J Chen, L Li, L Xiao, D Zhou International Conference on Machine Learning 2017, 2017	216	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	190	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	162*	2017

Systemet kan ikke utføre handlingen. Prøv på nytt senere.

Artikler 1–20

Sitater per år

Duplikatsitater

Sammenslåtte sitater

Legg til medforfattereMedforfattere

Følg

Sitert av

Medforfattere