Fattahi, Salar

14 publications

ICML 2025 Enhancing Performance of Explainable AI Models with Constrained Concept Refinement Geyu Liang, Senne Michielssen, Salar Fattahi

COLT 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion Jianhao Ma, Salar Fattahi

JMLR 2024 Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components Naichen Shi, Salar Fattahi, Raed Al Kontar

ICLR 2023 Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition Jianhao Ma, Lingjun Guo, Salar Fattahi

JMLR 2023 Global Convergence of Sub-Gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-Parameterization Jianhao Ma, Salar Fattahi

NeurIPS 2023 Personalized Dictionary Learning for Heterogeneous Datasets Geyu Liang, Naichen Shi, Raed AL Kontar, Salar Fattahi

JMLR 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification Gavin Zhang, Salar Fattahi, Richard Y. Zhang

NeurIPS 2022 Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution Jianhao Ma, Salar Fattahi

L4DC 2021 Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples Salar Fattahi

NeurIPS 2021 Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization Jialun Zhang, Salar Fattahi, Richard Y Zhang

NeurIPS 2021 Scalable Inference of Sparsely-Changing Gaussian Markov Random Fields Salar Fattahi, Andres Gomez

JMLR 2020 Exact Guarantees on the Absence of Spurious Local Minima for Non-Negative Rank-1 Robust Principal Component Analysis Salar Fattahi, Somayeh Sojoudi

JMLR 2019 Graphical Lasso and Thresholding: Equivalence and Closed-Form Solutions Salar Fattahi, Somayeh Sojoudi

ICML 2018 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion Richard Zhang, Salar Fattahi, Somayeh Sojoudi