Transformation of optimal centralized controllers into near-global static distributed controllers. - Salar Fattahi; Ghazal Fazelnia; Javad Lavaei (CDC, 2015)

Convex analysis of generalized flow networks. - Salar Fattahi; Javad Lavaei (CDC, 2015)

Theoretical guarantees for the design of near globally optimal static distributed controllers. - Salar Fattahi; Javad Lavaei (Allerton, 2016)

A strong semidefinite programming relaxation of the unit commitment problem. - Morteza Ashraphijuo; Salar Fattahi; Javad Lavaei; Alper Atamtürk (CDC, 2016)

On the convexity of optimal decentralized control problem and sparsity path. - Salar Fattahi; Javad Lavaei (ACC, 2017)

Promises of conic relaxations in optimal transmission switching of power systems. - Salar Fattahi; Javad Lavaei; Alper Atamtürk (CDC, 2017)

A scalable method for designing distributed controllers for systems with unknown initial states. - Salar Fattahi; Javad Lavaei; Murat Arcak (CDC, 2017)

Data-Driven Sparse System Identification. - Salar Fattahi; Somayeh Sojoudi (Allerton, 2018)

High-Performance Cooperative Distributed Model Predictive Control for Linear Systems. - Georgios Darivianakis; Salar Fattahi; John Lygeros; Javad Lavaei (ACC, 2018)

Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem. - Salar Fattahi; Somayeh Sojoudi (ACC, 2018)

Non-Asymptotic Analysis of Block-Regularized Regression Problem. - Salar Fattahi; Somayeh Sojoudi (CDC, 2018)

Sparse Inverse Covariance Estimation for Chordal Structures. - Salar Fattahi; Richard Y. Zhang; Somayeh Sojoudi (ECC, 2018)

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

Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis. - Salar Fattahi; Somayeh Sojoudi (CoRR, 2018)

Learning Sparse Dynamical Systems from a Single Sample Trajectory. - Salar Fattahi; Nikolai Matni; Somayeh Sojoudi (CDC, 2019)

Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. - Salar Fattahi; Richard Y. Zhang; Somayeh Sojoudi (IEEE Access, 2019)

Efficient Learning of Distributed Linear-Quadratic Controllers. - Salar Fattahi; Nikolai Matni; Somayeh Sojoudi (CoRR, 2019)

Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions. - Salar Fattahi; Somayeh Sojoudi (J. Mach. Learn. Res., 2019)

Convexification of generalized network flow problem. - Somayeh Sojoudi; Salar Fattahi; Javad Lavaei (Math. Program., 2019)

Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. - Salar Fattahi; Ghazal Fazelnia; Javad Lavaei; Murat Arcak (IEEE Trans. Autom. Control., 2019)

Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. - Salar Fattahi; Cédric Josz; Reza Mohammadi-Ghazi; Javad Lavaei; Somayeh Sojoudi (CCTA, 2020)

Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis. - Salar Fattahi; Somayeh Sojoudi (J. Mach. Learn. Res., 2020)

Efficient Learning of Distributed Linear-Quadratic Control Policies. - Salar Fattahi; Nikolai Matni; Somayeh Sojoudi (SIAM J. Control. Optim., 2020)

Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. - Salar Fattahi (L4DC, 2021)

Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. - Salar Fattahi; Andrés Gómez 001 (NeurIPS, 2021)

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

Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. - Jianhao Ma; Salar Fattahi (CoRR, 2021)

Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. - Salar Fattahi; Andrés Gómez 001 (CoRR, 2021)

Sample Complexity of Block-Sparse System Identification Problem. - Salar Fattahi; Somayeh Sojoudi (IEEE Trans. Control. Netw. Syst., 2021)

Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow. - Julie Mulvaney-Kemp; Salar Fattahi; Javad Lavaei (IEEE Trans. Control. Netw. Syst., 2021)

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

Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution. - Jianhao Ma; Salar Fattahi (CoRR, 2022)

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

Personalized Dictionary Learning for Heterogeneous Datasets. - Geyu Liang; Naichen Shi; Raed Al Kontar; Salar Fattahi (NeurIPS, 2023)

On the Optimization Landscape of Burer-Monteiro Factorization: When do Global Solutions Correspond to Ground Truth? - Jianhao Ma; Salar Fattahi (CoRR, 2023)

Robust Sparse Mean Estimation via Incremental Learning. - Jianhao Ma; Rui Ray Chen; Yinghui He; Salar Fattahi; Wei Hu (CoRR, 2023)

Solution Path of Time-varying Markov Random Fields with Discrete Regularization. - Salar Fattahi; Andrés Gómez 001 (CoRR, 2023)

Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. - Jianhao Ma; Salar Fattahi (J. Mach. Learn. Res., 2023)

Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. - Gavin Zhang; Salar Fattahi; Richard Y. Zhang (J. Mach. Learn. Res., 2023)

On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. - Salar Fattahi; Cédric Josz; Yuhao Ding; Reza Mohammadi-Ghazi; Javad Lavaei; Somayeh Sojoudi (IEEE Trans. Autom. Control., 2023)

Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. - Visweswaran Ravikumar; Tong Xu; Wajd N. Al-Holou; Salar Fattahi; Arvind Rao (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A graph-based decomposition method for convex quadratic optimization with indicators. - Peijing Liu; Salar Fattahi; Andrés Gómez 001; Simge Küçükyavuz (Math. Program., 2023)

Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion. - Jianhao Ma; Salar Fattahi (COLT, 2024)

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. - Naichen Shi; Salar Fattahi; Raed Al Kontar (CoRR, 2024)

Simple Alternating Minimization Provably Solves Complete Dictionary Learning. - Geyu Liang; Gavin Zhang; Salar Fattahi; Richard Y. Zhang (SIAM J. Math. Data Sci., 2025)

Enhancing Performance of Explainable AI Models with Constrained Concept Refinement. - Geyu Liang; Senne Michielssen; Salar Fattahi (CoRR, 2025)

RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions. - Guixian Chen; Jianhao Ma; Salar Fattahi (CoRR, 2025)

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization. - Gavin Zhang; Salar Fattahi; Richard Y. Zhang (CoRR, 2025)

Implicit Regularization of Infinitesimally-perturbed Gradient Descent Toward Low-dimensional Solutions. - Jianhao Ma; Geyu Liang; Salar Fattahi (CoRR, 2025)