← Authors

Xingguo Li

16 papers · 2015–2020 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (4) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (25) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (10) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (75)

Conferences

NIPS (6) AISTATS (3) JMLR (3) ICLR (2) ICML (2)

Top co-authors

Tuo Zhao (10) Jarvis Haupt (6) Han Liu (5) Raman Arora (3) Mingyi Hong (3) Weiyang Liu (2) Sirisha Rambhatla (2) Bo Dai (2) Le Song (2) Lin Yang (2)

Keywords

nonconvex optimization (4) sparse learning (3) iteration complexity (2) convergence analysis (2) strongly convex (2) stochastic optimization (2) robust optimization (1) compressed sensing (1) active learning (1) convex optimization (1) matrix factorization (1) sparse coding (1) compressive sensing (1) black-box optimization (1) representation learning (1) adversarial training (1) sparse estimation (1) sample complexity (1) neural network optimization (1) online learning (1)

Papers

Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality NIPS 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning NIPS 2020
On Generalization Bounds of a Family of Recurrent Neural Networks AISTATS 2020
On Computation and Generalization of Generative Adversarial Imitation Learning ICLR 2020
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python JMLR 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019
NOODL: Provable Online Dictionary Learning and Sparse Coding ICLR 2019
On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization JMLR 2018
Towards Black-box Iterative Machine Teaching ICML 2018
Deep Hyperspherical Learning NIPS 2017
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning NIPS 2017
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning ICML 2016
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016
The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R JMLR 2015