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Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution


Jul 15, 2022
Jianhao Ma, Salar Fattahi


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Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks


Jun 21, 2022
Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao


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Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification


Jun 07, 2022
Gavin Zhang, Salar Fattahi, Richard Y. Zhang


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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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