Lijun Ding
8 papers · 2019–2024 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot ยท Silver
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Academic Marathon ยท Sprint
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Interdisciplinary Bridge ยท Bronze
๐บ๏ธ
Taxonomy Completionist
(19)
Top co-authors
Research topics
Keywords
linear convergence
(4)
matrix completion
(2)
quadratic growth
(2)
matrix sensing
(2)
low-rank matrix recovery
(2)
non-convex optimization
(2)
strict complementarity
(2)
low-rank matrix
(1)
low-rank recovery
(1)
matrix factorization
(1)
tensor completion
(1)
nuclear norm
(1)
exact recovery
(1)
convergence rate
(1)
augmented lagrangian method
(1)
conic optimization
(1)
frank-wolfe algorithm
(1)
error bound
(1)
subgradient method
(1)
robust principal component analysis
(1)
Papers
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
L4DC 2024
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
ICLR 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
NeurIPS 2024
Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk
OSDI 2024
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
NeurIPS 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion
AISTATS 2021
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
ICML 2020
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NeurIPS 2019