Salar Fattahi

According to our database, Salar Fattahi authored at least 45 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components.

Naichen Shi, Salar Fattahi, Raed Al Kontar

CoRR, 2024

Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion.

Jianhao Ma, Salar Fattahi

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

A graph-based decomposition method for convex quadratic optimization with indicators.

Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz

Math. Program., July, 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

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

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

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

Solution Path of Time-varying Markov Random Fields with Discrete Regularization.

Salar Fattahi, Andrés Gómez

CoRR, 2023

Robust Sparse Mean Estimation via Incremental Learning.

Jianhao Ma, Rui Ray Chen, Yinghui He, Salar Fattahi, Wei Hu

CoRR, 2023

On the Optimization Landscape of Burer-Monteiro Factorization: When do Global Solutions Correspond to Ground Truth?

Jianhao Ma, Salar Fattahi

CoRR, 2023

Personalized Dictionary Learning for Heterogeneous Datasets.

Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition.

Jianhao Ma, Lingjun Guo, Salar Fattahi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Simple Alternating Minimization Provably Solves Complete Dictionary Learning.

Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang

CoRR, 2022

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

Jianhao Ma, Salar Fattahi

CoRR, 2022

Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution.

Jianhao Ma, Salar Fattahi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Sample Complexity of Block-Sparse System Identification Problem.

Salar Fattahi, Somayeh Sojoudi

IEEE Trans. Control. Netw. Syst., 2021

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

Salar Fattahi, Andrés Gómez

CoRR, 2021

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

Jianhao Ma, Salar Fattahi

CoRR, 2021

Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization.

Jialun Zhang, Salar Fattahi, Richard Y. Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Scalable Inference of Sparsely-changing Gaussian Markov Random Fields.

Salar Fattahi, Andrés Gómez

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples.

Salar Fattahi

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

Efficient Learning of Distributed Linear-Quadratic Control Policies.

Salar Fattahi, Nikolai Matni, Somayeh Sojoudi

SIAM J. Control. Optim., 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

Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective.

Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

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

Convexification of generalized network flow problem.

Somayeh Sojoudi, Salar Fattahi, Javad Lavaei

Math. Program., 2019

Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions.

Salar Fattahi, Somayeh Sojoudi

J. Mach. Learn. Res., 2019

Efficient Learning of Distributed Linear-Quadratic Controllers.

Salar Fattahi, Nikolai Matni, Somayeh Sojoudi

CoRR, 2019

Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models.

Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi

IEEE Access, 2019

Learning Sparse Dynamical Systems from a Single Sample Trajectory.

Salar Fattahi, Nikolai Matni, Somayeh Sojoudi

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

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

Salar Fattahi, Somayeh Sojoudi

CoRR, 2018

Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion.

Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi

Proceedings of the 35th International Conference on Machine Learning, 2018

Sparse Inverse Covariance Estimation for Chordal Structures.

Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi

Proceedings of the 16th European Control Conference, 2018

Non-Asymptotic Analysis of Block-Regularized Regression Problem.

Salar Fattahi, Somayeh Sojoudi

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem.

Salar Fattahi, Somayeh Sojoudi

Proceedings of the 2018 Annual American Control Conference, 2018

High-Performance Cooperative Distributed Model Predictive Control for Linear Systems.

Georgios Darivianakis, Salar Fattahi, John Lygeros, Javad Lavaei

Proceedings of the 2018 Annual American Control Conference, 2018

Data-Driven Sparse System Identification.

Salar Fattahi, Somayeh Sojoudi

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

A scalable method for designing distributed controllers for systems with unknown initial states.

Salar Fattahi, Javad Lavaei, Murat Arcak

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Promises of conic relaxations in optimal transmission switching of power systems.

Salar Fattahi, Javad Lavaei, Alper Atamtürk

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On the convexity of optimal decentralized control problem and sparsity path.

Salar Fattahi, Javad Lavaei

Proceedings of the 2017 American Control Conference, 2017

2016

A strong semidefinite programming relaxation of the unit commitment problem.

Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Theoretical guarantees for the design of near globally optimal static distributed controllers.

Salar Fattahi, Javad Lavaei

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Convex analysis of generalized flow networks.

Salar Fattahi, Javad Lavaei

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Transformation of optimal centralized controllers into near-global static distributed controllers.

Salar Fattahi, Ghazal Fazelnia, Javad Lavaei

Proceedings of the 54th IEEE Conference on Decision and Control, 2015