Lijun Ding
8 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer
π
Cross-Pollinator
(13)
Conferences
NIPS (3)
AISTATS (1)
ICLR (1)
ICML (1)
L4DC (1)
OSDI (1)
Top co-authors
Keywords
linear convergence
(3)
quadratic growth
(2)
low-rank matrix recovery
(2)
matrix completion
(2)
strict complementarity
(2)
nonconvex optimization
(2)
tensor completion
(1)
nuclear norm
(1)
exact recovery
(1)
matrix sensing
(1)
subgradient method
(1)
error bound
(1)
frank-wolfe algorithm
(1)
augmented lagrangian method
(1)
proximal point method
(1)
missing not at random
(1)
kkt condition
(1)
polyak-lojasiewicz inequality
(1)
schatten norm
(1)
machine learning classification
(1)
Papers
Ransom Access Memories: Achieving Practical Ransomware Protection in Cloud with DeftPunk
OSDI 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
NIPS 2024
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization
ICLR 2024
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
L4DC 2024
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery
NIPS 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
NIPS 2019