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Salar Fattahi

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Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization

Feb 17, 2022
Jianhao Ma, Salar Fattahi

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Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees

Feb 06, 2021
Salar Fattahi, Andres Gomez

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Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers

Feb 05, 2021
Jianhao Ma, Salar Fattahi

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Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples

Oct 08, 2020
Salar Fattahi

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Efficient Learning of Distributed Linear-Quadratic Controllers

Oct 11, 2019
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi

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Learning Sparse Dynamical Systems from a Single Sample Trajectory

Apr 20, 2019
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi

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Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis

Dec 30, 2018
Salar Fattahi, Somayeh Sojoudi

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Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions

Oct 06, 2018
Salar Fattahi, Somayeh Sojoudi

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Sample Complexity of Sparse System Identification Problem

Aug 26, 2018
Salar Fattahi, Somayeh Sojoudi

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