Xingguo Li
16 papers · 2015–2020 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (5)
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Conference Polyglot
(5)
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Academic Marathon
(5)
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Dynamic Duo
(10)
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Century Club
(16)
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Keyword Collector
(75)
Conferences
NIPS (6)
AISTATS (3)
JMLR (3)
ICLR (2)
ICML (2)
Top co-authors
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