Salar Fattahi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 52

Top Topics

Robust Principal Component Analysis

Global Solution

Gradient Method

Top Venues

J. Mach. Learn. Res.

Publications

Jianhao Ma, Salar Fattahi
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion. CoRR (2024)
Naichen Shi, Salar Fattahi, Raed Al Kontar
Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR (2024)
Jianhao Ma, Salar Fattahi
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion. COLT (2024)
Jianhao Ma, Lingjun Guo, Salar Fattahi
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition. ICLR (2023)
Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. IEEE Trans. Autom. Control. 68 (1) (2023)
Salar Fattahi, Andrés Gómez
Solution Path of Time-varying Markov Random Fields with Discrete Regularization. CoRR (2023)
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
Personalized Dictionary Learning for Heterogeneous Datasets. CoRR (2023)
Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao
Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. J. Mach. Learn. Res. 24 (2023)
Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS (2023)
Jianhao Ma, Salar Fattahi
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. J. Mach. Learn. Res. 24 (2023)
Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz
A graph-based decomposition method for convex quadratic optimization with indicators. Math. Program. 200 (2) (2023)
Jianhao Ma, Rui Ray Chen, Yinghui He, Salar Fattahi, Wei Hu
Robust Sparse Mean Estimation via Incremental Learning. CoRR (2023)
Jianhao Ma, Salar Fattahi
On the Optimization Landscape of Burer-Monteiro Factorization: When do Global Solutions Correspond to Ground Truth? CoRR (2023)
Jianhao Ma, Salar Fattahi
Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution. CoRR (2022)
Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Simple Alternating Minimization Provably Solves Complete Dictionary Learning. CoRR (2022)
Jianhao Ma, Salar Fattahi
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. CoRR (2022)
Jianhao Ma, Lingjun Guo, Salar Fattahi
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition. CoRR (2022)
Gavin Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. CoRR (2022)
Jianhao Ma, Salar Fattahi
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution. NeurIPS (2022)
Salar Fattahi
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. L4DC (2021)
Salar Fattahi, Andrés Gómez
Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. CoRR (2021)
Julie Mulvaney-Kemp, Salar Fattahi, Javad Lavaei
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow. IEEE Trans. Control. Netw. Syst. 8 (3) (2021)
Jianhao Ma, Salar Fattahi
Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. CoRR (2021)
Salar Fattahi, Andrés Gómez
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. NeurIPS (2021)
Salar Fattahi, Somayeh Sojoudi
Sample Complexity of Block-Sparse System Identification Problem. IEEE Trans. Control. Netw. Syst. 8 (4) (2021)
Jialun Zhang, Salar Fattahi, Richard Y. Zhang
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization. NeurIPS (2021)
Salar Fattahi
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. CoRR (2020)
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
Efficient Learning of Distributed Linear-Quadratic Control Policies. SIAM J. Control. Optim. 58 (5) (2020)
Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. CCTA (2020)
Salar Fattahi, Somayeh Sojoudi
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis. J. Mach. Learn. Res. 21 (2020)
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
Efficient Learning of Distributed Linear-Quadratic Controllers. CoRR (2019)
Salar Fattahi, Ghazal Fazelnia, Javad Lavaei, Murat Arcak
Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. IEEE Trans. Autom. Control. 64 (1) (2019)
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
Learning Sparse Dynamical Systems from a Single Sample Trajectory. CDC (2019)
Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. IEEE Access 7 (2019)
Salar Fattahi, Somayeh Sojoudi
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions. J. Mach. Learn. Res. 20 (2019)
Somayeh Sojoudi, Salar Fattahi, Javad Lavaei
Convexification of generalized network flow problem. Math. Program. 173 (1-2) (2019)
Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
Learning Sparse Dynamical Systems from a Single Sample Trajectory. CoRR (2019)
Georgios Darivianakis, Salar Fattahi, John Lygeros, Javad Lavaei
High-Performance Cooperative Distributed Model Predictive Control for Linear Systems. ACC (2018)
Salar Fattahi, Somayeh Sojoudi
Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem. ACC (2018)
Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion. ICML (2018)
Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
Sparse Inverse Covariance Estimation for Chordal Structures. ECC (2018)
Salar Fattahi, Somayeh Sojoudi
Non-Asymptotic Analysis of Block-Regularized Regression Problem. CDC (2018)
Salar Fattahi, Somayeh Sojoudi
Data-Driven Sparse System Identification. CoRR (2018)
Salar Fattahi, Somayeh Sojoudi
Data-Driven Sparse System Identification. Allerton (2018)
Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. CoRR (2018)
Salar Fattahi, Somayeh Sojoudi
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis. CoRR (2018)
Salar Fattahi, Javad Lavaei, Alper Atamtürk
Promises of conic relaxations in optimal transmission switching of power systems. CDC (2017)
Salar Fattahi, Javad Lavaei, Murat Arcak
A scalable method for designing distributed controllers for systems with unknown initial states. CDC (2017)
Salar Fattahi, Javad Lavaei
On the convexity of optimal decentralized control problem and sparsity path. ACC (2017)
Salar Fattahi, Javad Lavaei
Theoretical guarantees for the design of near globally optimal static distributed controllers. Allerton (2016)
Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk
A strong semidefinite programming relaxation of the unit commitment problem. CDC (2016)
Salar Fattahi, Ghazal Fazelnia, Javad Lavaei
Transformation of optimal centralized controllers into near-global static distributed controllers. CDC (2015)
Salar Fattahi, Javad Lavaei
Convex analysis of generalized flow networks. CDC (2015)