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Yudong Chen
Yudong Chen
Associate Professor, University of Wisconsin-Madison
wisc.edu의 이메일 확인됨 - 홈페이지
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User association for load balancing in heterogeneous cellular networks
Q Ye, B Rong, Y Chen, M Al-Shalash, C Caramanis, JG Andrews
IEEE Transactions on Wireless Communications 12 (6), 2706-2716, 2013
13842013
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
D Yin, Y Chen, K Ramchandran, P Bartlett
International Conference on Machine Learning, 2018, 2018
10382018
Tensor robust principal component analysis with a new tensor nuclear norm
C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan
IEEE transactions on pattern analysis and machine intelligence 42 (4), 925-938, 2019
6762019
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Y Chen, L Su, J Xu
Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (2 …, 2017
5282017
Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
C Lu, J Feng, Y Chen, W Liu, Z Lin, S Yan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5249-5257, 2016
5002016
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Y Chen, MJ Wainwright
arXiv preprint arXiv:1509.03025, 2015
3112015
Fast Algorithms for Robust PCA via Gradient Descent
X Yi, D Park, Y Chen, C Caramanis
Advances in neural information processing systems, 2016
2832016
Statistical-computational tradeoffs in planted problems and submatrix localization with a growing number of clusters and submatrices
Y Chen, J Xu
Journal of Machine Learning Research 17 (27), 1-57, 2016
2282016
Completing any low-rank matrix, provably
Y Chen, S Bhojanapalli, S Sanghavi, R Ward
Journal of Machine Learning Research 16, 2999-3034, 2015
220*2015
Incoherence-optimal matrix completion
Y Chen
IEEE Transactions on Information Theory 61 (5), 2909-2923, 2015
2162015
Low-rank matrix recovery from errors and erasures
Y Chen, A Jalali, S Sanghavi, C Caramanis
IEEE Transactions on Information Theory 59 (7), 4324-4337, 2013
2142013
Clustering sparse graphs
Y Chen, S Sanghavi, H Xu
Advances in neural information processing systems, 2204-2212, 2012
1852012
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Y Chen, Y Chi
IEEE Signal Processing Magazine 35 (4), 14-31, 2018
1632018
Robust Sparse Regression under Adversarial Corruption.
Y Chen, C Caramanis, S Mannor
International Conference on Machine Learning, 774-782, 2013
1602013
Clustering partially observed graphs via convex optimization.
Y Chen, A Jalali, S Sanghavi, H Xu
Journal of Machine Learning Research 15 (1), 2213-2238, 2014
1412014
Robust matrix completion with corrupted columns
Y Chen, H Xu, C Caramanis, S Sanghavi
Proceedings of the 28 th International Conference on Machine Learning, 2011
1402011
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
F Liu, X Huang, Y Chen, JAK Suykens
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
1372020
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
Y Chen, X Li, J Xu
The Annals of Statistics 46 (4), 1573-1602, 2015
1272015
Learning zero-sum simultaneous-move markov games using function approximation and correlated equilibrium
Q Xie, Y Chen, Z Wang, Z Yang
Conference on learning theory, 3674-3682, 2020
1252020
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
D Yin, Y Chen, K Ramchandran, P Bartlett
International Conference on Machine Learning, 2019
1042019
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