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Junhong Lin
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Year
Optimal rates for multi-pass stochastic gradient methods
J Lin, L Rosasco
The Journal of Machine Learning Research 18 (1), 3375-3421, 2017
118*2017
Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces
J Lin, A Rudi, L Rosasco, V Cevher
Applied and Computational Harmonic Analysis 48 (3), 868-890, 2020
892020
Generalization properties and implicit regularization for multiple passes SGM
J Lin, R Camoriano, L Rosasco
International Conference on Machine Learning, 2340-2348, 2016
782016
New bounds for restricted isometry constants with coherent tight frames
J Lin, S Li, Y Shen
IEEE Transactions on Signal Processing 61 (3), 611-621, 2013
492013
Sparse recovery with coherent tight frames via analysis Dantzig selector and analysis LASSO
J Lin, S Li
Applied and Computational Harmonic Analysis 37 (1), 126-139, 2014
442014
Iterative regularization for learning with convex loss functions
J Lin, L Rosasco, DX Zhou
Journal of Machine Learning Research 17 (1), 2718-2755, 2016
422016
Compressed sensing with coherent tight frame via lq minimization
S Li, J Lin
Inverse Probl Imaging 8 (3), 761-777, 2014
38*2014
Online learning algorithms can converge comparably fast as batch learning
J Lin, DX Zhou
IEEE Transactions on Neural Networks and Learning Systems 29 (6), 2367-2378, 2017
352017
Learning theory of randomized Kaczmarz algorithm
J Lin, DX Zhou
Journal of Machine Learning Research 16 (1), 3341-3365, 2015
342015
Block sparse recovery via mixed l 2/l 1 minimization
JH Lin, S Li
Acta Mathematica Sinica, English Series 29 (7), 1401-1412, 2013
342013
Optimal convergence for distributed learning with stochastic gradient methods and spectral algorithms
J Lin, V Cevher
The Journal of Machine Learning Research 21 (1), 5852-5914, 2020
262020
Optimal distributed learning with multi-pass stochastic gradient methods
J Lin, V Cevher
International Conference on Machine Learning, 3092-3101, 2018
262018
Online pairwise learning algorithms with convex loss functions
J Lin, Y Lei, B Zhang, DX Zhou
Information Sciences 406, 57-70, 2017
232017
Restricted-Isometry Properties Adapted to Frames for Nonconvex-Analysis
J Lin, S Li
IEEE Transactions on Information Theory 62 (8), 4733-4747, 2016
232016
Compressed data separation with redundant dictionaries
J Lin, S Li, Y Shen
IEEE Transactions on Information Theory 59 (7), 4309-4315, 2013
232013
Nonuniform support recovery from noisy random measurements by orthogonal matching pursuit
J Lin, S Li
Journal of Approximation Theory 165 (1), 20-40, 2013
162013
Optimal convergence for distributed learning with stochastic gradient methods and spectral-regularization algorithms
J Lin, V Cevher
arXiv preprint arXiv:1801.07226, 2018
142018
Convergence of projected Landweber iteration for matrix rank minimization
J Lin, S Li
Applied and Computational Harmonic Analysis 36 (2), 316-325, 2014
142014
Modified Fejér sequences and applications
J Lin, L Rosasco, S Villa, DX Zhou
Computational Optimization and Applications 71, 95-113, 2018
112018
Convergences of regularized algorithms and stochastic gradient methods with random projections
J Lin, V Cevher
Journal of Machine Learning Research 21, 1-44, 2020
102020
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Articles 1–20