Salar Fattahi
14 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(68)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory · Machine Learning
(9)
Mathematics & Optimization
(8)
Core Methods
(7)
Optimization
(7)
Deep Learning
(4)
Mathematics
(4)
Optimization & Theory · Deep Learning
(3)
Artificial Intelligence
(2)
Statistics
(2)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Keywords
gradient descent
(4)
non-convex optimization
(3)
matrix factorization
(3)
global convergence
(2)
subgradient method
(2)
sparse inverse covariance
(2)
matrix completion
(2)
low-rank matrix
(2)
graphical lasso
(2)
convergence guarantee
(2)
feature extraction
(1)
sample complexity
(1)
sparse estimation
(1)
covariance estimation
(1)
anomaly detection
(1)
multi-task learning
(1)
interpretability
(1)
linear regression
(1)
sparse representation
(1)
transfer learning
(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
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
Personalized Dictionary Learning for Heterogeneous Datasets
NeurIPS 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
JMLR 2023
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution
NeurIPS 2022
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples
L4DC 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization
NeurIPS 2021
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
NeurIPS 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