Követés
Yudong Chen
Yudong Chen
Associate Professor, University of Wisconsin-Madison
E-mail megerősítve itt: wisc.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
D Yin, Y Chen, K Ramchandran, P Bartlett
International Conference on Machine Learning, 2018, 2018
17402018
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
14672013
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
9132019
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
7292017
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
6022016
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Y Chen, MJ Wainwright
arXiv preprint arXiv:1509.03025, 2015
3522015
Fast Algorithms for Robust PCA via Gradient Descent
X Yi, D Park, Y Chen, C Caramanis
Advances in neural information processing systems, 2016
3162016
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
2442016
Incoherence-optimal matrix completion
Y Chen
IEEE Transactions on Information Theory 61 (5), 2909-2923, 2015
2432015
Completing any low-rank matrix, provably
Y Chen, S Bhojanapalli, S Sanghavi, R Ward
Journal of Machine Learning Research 16, 2999-3034, 2015
239*2015
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
2292013
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
2122020
Clustering sparse graphs
Y Chen, S Sanghavi, H Xu
Advances in neural information processing systems, 2204-2212, 2012
2022012
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Y Chen, Y Chi
IEEE Signal Processing Magazine 35 (4), 14-31, 2018
1872018
Robust Sparse Regression under Adversarial Corruption.
Y Chen, C Caramanis, S Mannor
International Conference on Machine Learning, 774-782, 2013
1762013
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
1612020
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
1492014
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
1482011
Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
Y Chen, X Li, J Xu
The Annals of Statistics 46 (4), 1573-1602, 2015
1312015
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
D Yin, Y Chen, K Ramchandran, P Bartlett
International Conference on Machine Learning, 2019
1252019
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