Salar Fattahi
14 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
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Keyword Pioneer
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Cross-Pollinator
(11)
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(56)
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Century Club
(14)
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Unstoppable
(8)
Conferences
JMLR (5)
NIPS (4)
ICML (2)
COLT (1)
ICLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
gradient descent
(3)
matrix factorization
(3)
nonconvex optimization
(2)
sub-gradient method
(2)
matrix completion
(2)
global convergence
(2)
graphical lasso
(2)
low-rank matrix
(2)
sparse inverse covariance
(2)
anomaly detection
(1)
sample complexity
(1)
transfer learning
(1)
sparse estimation
(1)
covariance estimation
(1)
multi-task learning
(1)
sparse representation
(1)
linear regression
(1)
video segmentation
(1)
non-convex optimization
(1)
system identification
(1)
Papers
Enhancing Performance of Explainable AI Models with Constrained Concept Refinement
ICML 2025
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
COLT 2024
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
JMLR 2024
Personalized Dictionary Learning for Heterogeneous Datasets
NIPS 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
JMLR 2023
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
ICLR 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
JMLR 2023
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
NIPS 2022
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
L4DC 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
NIPS 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
NIPS 2021
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis
JMLR 2020
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions
JMLR 2019
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
ICML 2018