Yudong Chen
Yudong Chen
Assistant Professor, Cornell University
Verified email at cornell.edu - Homepage
Cited by
Cited by
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
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
Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
Y Chen, MJ Wainwright
arXiv preprint arXiv:1509.03025, 2015
Fast Algorithms for Robust PCA via Gradient Descent
X Yi, D Park, Y Chen, C Caramanis
arXiv preprint arXiv:1605.07784, 2016
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
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
Completing any low-rank matrix, provably
Y Chen, S Bhojanapalli, S Sanghavi, R Ward
Journal of Machine Learning Research 16, 2999-3034, 2015
Clustering sparse graphs
Y Chen, S Sanghavi, H Xu
Advances in neural information processing systems, 2204-2212, 2012
Incoherence-optimal matrix completion
Y Chen
IEEE Transactions on Information Theory 61 (5), 2909-2923, 2015
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Y Chen, L Su, J Xu
arXiv preprint arXiv:1705.05491, 2017
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
D Yin, Y Chen, K Ramchandran, P Bartlett
arXiv preprint arXiv:1803.01498, 2018
Robust matrix completion with corrupted columns
Y Chen, H Xu, C Caramanis, S Sanghavi
arXiv preprint arXiv:1102.2254, 2011
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
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
Robust Sparse Regression under Adversarial Corruption.
Y Chen, C Caramanis, S Mannor
ICML (3), 774-782, 2013
Improved graph clustering
Y Chen, S Sanghavi, H Xu
IEEE Transactions on Information Theory 60 (10), 6440-6455, 2014
Clustering Partially Observed Graphs via Convex Optimization.
A Jalali, Y Chen, S Sanghavi, H Xu
ICML 11, 1001-1008, 2011
Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
Y Chen, Y Chi
arXiv preprint arXiv:1802.08397, 2018
Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery.
Y Chen, C Caramanis
ICML (1), 383-391, 2013
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates.
Y Chen, X Yi, C Caramanis
COLT, 560-604, 2014
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