papers
Publications (14)
cs.CV2019
Target-based Hyperspectral Demixing via Generalized Robust PCA
Sirisha Rambhatla, Xingguo Li, Jarvis Haupt
cs.LG2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About Its Nonsmooth Loss Function
Xingguo Li, Haoming Jiang, Jarvis Haupt +4
cs.LG2018
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li, Junwei Lu, Raman Arora +4
cs.LG2018
Deep Hyperspherical Learning
Weiyang Liu, Yan-Ming Zhang, Xingguo Li +4
stat.ML2018
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions
Xingguo Li, Lin F. Yang, Jason Ge +3
cs.LG2017
Near Optimal Sketching of Low-Rank Tensor Regression
Jarvis Haupt, Xingguo Li, David P. Woodruff
cs.IT2014
Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling
Xingguo Li, Jarvis Haupt
cs.LG2019
A Dictionary Based Generalization of Robust PCA
Sirisha Rambhatla, Xingguo Li, Jarvis Haupt
cs.LG2019
On Tighter Generalization Bound for Deep Neural Networks: CNNs, ResNets, and Beyond
Xingguo Li, Junwei Lu, Zhaoran Wang +2
stat.ML2018
Towards Black-box Iterative Machine Teaching
Weiyang Liu, Bo Dai, Xingguo Li +3
math.OC2017
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
Xingguo Li, Tuo Zhao, Raman Arora +2
cs.IT2016
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices
Xingguo Li, Jarvis Haupt
cond-mat.supr-con2011
A sol-gel method for growing superconducting MgB2 films
Liping Chen, Chen Zhang, Yinbo Wang +5
cs.LG2017
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction
Xingguo Li, Raman Arora, Han Liu +2