Xingguo Li
Title
Cited by
Cited by
Year
The flare package for high dimensional linear regression and precision matrix estimation in R
X Li, T Zhao, X Yuan, H Liu
Journal of Machine Learning Research, 553-557, 2015
84*2015
Stochastic variance reduced optimization for nonconvex sparse learning
X Li, T Zhao, R Arora, H Liu, J Haupt
Proceedings of the 33rd International Conference on Machine Learning, 917-925, 2016
79*2016
Deep hyperspherical learning
W Liu, YM Zhang, X Li, Z Yu, B Dai, T Zhao, L Song
Advances in neural information processing systems, 3950-3960, 2017
722017
huge: High-dimensional undirected graph estimation
T Zhao, X Li, H Liu, K Roeder, J Lafferty, L Wasserman
URL http://CRAN. R-project. org/package= huge. R package version 1 (7), 2015
70*2015
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
X Li, J Lu, R Arora, J Haupt, H Liu, Z Wang, T Zhao
IEEE Transactions on Information Theory 65 (6), 3489 - 3514, 2019
68*2019
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
X Li, J Haupt
IEEE Trans. Signal Processing, 1792-1807, 2015
582015
On tighter generalization bound for deep neural networks: Cnns, resnets, and beyond
X Li, J Lu, Z Wang, J Haupt, T Zhao
arXiv preprint arXiv:1806.05159, 2018
352018
Towards black-box iterative machine teaching
W Liu, B Dai, X Li, Z Liu, J Rehg, L Song
International Conference on Machine Learning, 3141-3149, 2018
212018
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
X Li, T Zhao, R Arora, H Liu, M Hong
Proceedings of the 19th International Conference on Artificial Intelligence …, 2016
19*2016
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python
J Ge, X Li, H Jiang, H Liu, T Zhang, M Wang, T Zhao
Journal of Machine Learning Research, 2019
16*2019
Near optimal sketching of low-rank tensor regression
J Haupt, X Li, DP Woodruff
arXiv preprint arXiv:1709.07093, 2017
16*2017
Zo-adamm: Zeroth-order adaptive momentum method for black-box optimization
X Chen, S Liu, K Xu, X Li, X Lin, M Hong, D Cox
Advances in Neural Information Processing Systems, 7204-7215, 2019
132019
A refined analysis for the sample complexity of adaptive compressive outlier sensing
X Li, J Haupt
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
112016
A First Order Free Lunch for SQRT-Lasso
X Li, J Haupt, R Arora, H Liu, M Hong, T Zhao
arXiv preprint arXiv:1605.07950, 2016
11*2016
Locating salient group-structured image features via adaptive compressive sensing
X Li, J Haupt
Signal and Information Processing (GlobalSIP), 2015 IEEE Global Conference …, 2015
112015
Outlier identification via randomized adaptive compressive sampling
X Li, J Haupt
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International …, 2015
112015
On quadratic convergence of DC proximal Newton algorithm in nonconvex sparse learning
X Li, L Yang, J Ge, J Haupt, T Zhang, T Zhao
Advances in Neural Information Processing Systems, 2742-2752, 2017
9*2017
SAM: Sparse additive modelling
T Zhao, X Li, H Liu, K Roeder
R package version 1 (5), 2014
92014
On constrained nonconvex stochastic optimization: A case study for generalized eigenvalue decomposition
Z Chen, X Li, L Yang, J Haupt, T Zhao
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
8*2019
Communication-efficient algorithm for distributed sparse learning via two-way truncation
J Ren, X Li, J Haupt
2017 IEEE 7th International Workshop on Computational Advances in Multi …, 2017
8*2017
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