Li, Xingguo

15 publications

ICLR 2020 On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen, Yizhou Wang, Tianyi Liu, Zhuoran Yang, Xingguo Li, Zhaoran Wang, Tuo Zhao

AISTATS 2020 On Generalization Bounds of a Family of Recurrent Neural Networks Minshuo Chen, Xingguo Li, Tuo Zhao

NeurIPS 2020 Over-Parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality Yi Zhang, Orestis Plevrakis, Simon S Du, Xingguo Li, Zhao Song, Sanjeev Arora

NeurIPS 2020 Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning Sirisha Rambhatla, Xingguo Li, Jarvis Haupt

ICLR 2019 NOODL: Provable Online Dictionary Learning and Sparse Coding Sirisha Rambhatla, Xingguo Li, Jarvis Haupt

AISTATS 2019 On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition Zhehui Chen, Xingguo Li, Lin Yang, Jarvis Haupt, Tuo Zhao

MLOSS 2019 Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao

NeurIPS 2019 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox

ICML 2018 Towards Black-Box Iterative Machine Teaching Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James Rehg, Le Song

NeurIPS 2017 Deep Hyperspherical Learning Weiyang Liu, Yan-Ming Zhang, Xingguo Li, Zhiding Yu, Bo Dai, Tuo Zhao, Le Song

NeurIPS 2017 Near Optimal Sketching of Low-Rank Tensor Regression Xingguo Li, Jarvis Haupt, David Woodruff

NeurIPS 2017 On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning Xingguo Li, Lin Yang, Jason Ge, Jarvis Haupt, Tong Zhang, Tuo Zhao

AISTATS 2016 An Improved Convergence Analysis of Cyclic Block Coordinate Descent-Type Methods for Strongly Convex Minimization Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Mingyi Hong

ICML 2016 Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning Xingguo Li, Tuo Zhao, Raman Arora, Han Liu, Jarvis Haupt

MLOSS 2015 The Flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu