Fast greedy map inference for determinantal point process to improve recommendation diversity L Chen, G Zhang, H Zhou
Proceedings of the 32nd International Conference on Neural Information …, 2018
239 2018 The convergence guarantees of a non-convex approach for sparse recovery L Chen, Y Gu
IEEE Transactions on Signal Processing 62 (15), 3754-3767, 2014
93 2014 Perturbation analysis of orthogonal matching pursuit J Ding, L Chen, Y Gu
IEEE Transactions on Signal processing 61 (2), 398-410, 2012
82 2012 Square-root lasso with nonconvex regularization: An admm approach X Shen, L Chen, Y Gu, HC So
IEEE Signal Processing Letters 23 (7), 934-938, 2016
41 2016 Improving the diversity of top-N recommendation via determinantal point process L Chen, G Zhang, H Zhou
Large Scale Recommendation Systems Workshop, 2017
29 2017 On the performance bound of sparse estimation with sensing matrix perturbation Y Tang, L Chen, Y Gu
IEEE transactions on signal processing 61 (17), 4372-4386, 2013
28 2013 A calibration system and perturbation analysis for the modulated wideband converter L Chen, J Jin, Y Gu
IEEE 10th International Conference on Signal Processing Proceedings, 78-81, 2010
27 2010 On the theoretical analysis of cross validation in compressive sensing J Zhang, L Chen, PT Boufounos, Y Gu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
25 2014 Proof of convergence and performance analysis for sparse recovery via zero-point attracting projection X Wang, Y Gu, L Chen
IEEE transactions on signal processing 60 (8), 4081-4093, 2012
19 2012 On the Null Space Constant for Minimization L Chen, Y Gu
IEEE Signal Processing Letters 22 (10), 1600-1603, 2015
14 2015 Robustness of orthogonal matching pursuit for multiple measurement vectors in noisy scenario J Ding, L Chen, Y Gu
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
14 2012 The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares L Chen, Y Gu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
12 2014 Local and global optimality of LP minimization for sparse recovery L Chen, Y Gu
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
10 2015 Performance of orthogonal matching pursuit for multiple measurement vectors J Ding, L Chen, Y Gu
arXiv preprint arXiv:1109.6390, 2011
10 2011 Fast sparse recovery via non-convex optimization L Chen, Y Gu
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
9 2015 Oracle-order recovery performance of greedy pursuits with replacement against general perturbations L Chen, Y Gu
IEEE transactions on signal processing 61 (18), 4625-4636, 2013
9 2013 Hulu video recommendation: from relevance to reasoning X Xu, L Chen, S Zu, H Zhou
Proceedings of the 12th ACM Conference on Recommender Systems, 482-482, 2018
8 2018 Cross validation in compressive sensing and its application of OMP-CV algorithm J Zhang, L Chen, PT Boufounos, Y Gu
arXiv preprint arXiv:1602.06373, 2016
7 2016 From least squares to sparse: A non-convex approach with guarantee L Chen, Y Gu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
5 2013 Backtracking matching pursuit with supplement set of arbitrary size L Chen, Y Gu
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
5 2013