Salar Fattahi - RankMe

62 papers A* 8C 3Journal 39Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wasserstein Distributionally Robust Online Learning. CoRR Guixian Chen, Salar Fattahi, Soroosh Shafiee
2025	A*	`conf`	Enhancing Performance of Explainable AI Models with Constrained Concept Refinement. ICML Geyu Liang, Senne Michielssen, Salar Fattahi
2025	J	`jnl`	Enhancing Performance of Explainable AI Models with Constrained Concept Refinement. CoRR Geyu Liang, Senne Michielssen, Salar Fattahi
2025	J	`jnl`	Implicit Regularization of Infinitesimally-perturbed Gradient Descent Toward Low-dimensional Solutions. CoRR Jianhao Ma, Geyu Liang, Salar Fattahi
2025	J	`jnl`	Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization. CoRR Gavin Zhang, Salar Fattahi, Richard Y. Zhang
2025	J	`jnl`	RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions. CoRR Guixian Chen, Jianhao Ma, Salar Fattahi
2025	J	`jnl`	Simple Alternating Minimization Provably Solves Complete Dictionary Learning. SIAM J. Math. Data Sci. Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang
2024	A*	`conf`	Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion. COLT Jianhao Ma, Salar Fattahi
2024	J	`jnl`	Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion. CoRR Jianhao Ma, Salar Fattahi
2024	J	`jnl`	Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. CoRR Naichen Shi, Salar Fattahi, Raed Al Kontar
2024	J	`jnl`	Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components. J. Mach. Learn. Res. Naichen Shi, Salar Fattahi, Raed Al Kontar
2023	J	`jnl`	A graph-based decomposition method for convex quadratic optimization with indicators. Math. Program. Peijing Liu, Salar Fattahi, Andrés Gómez, Simge Küçükyavuz
2023	A*	`conf`	Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition. ICLR Jianhao Ma, Lingjun Guo, Salar Fattahi
2023	J	`jnl`	Efficient Inference of Spatially-Varying Gaussian Markov Random Fields With Applications in Gene Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou, Salar Fattahi, Arvind Rao
2023	J	`jnl`	Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. J. Mach. Learn. Res. Jianhao Ma, Salar Fattahi
2023	J	`jnl`	On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization. IEEE Trans. Autom. Control. Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
2023	J	`jnl`	On the Optimization Landscape of Burer-Monteiro Factorization: When do Global Solutions Correspond to Ground Truth? CoRR Jianhao Ma, Salar Fattahi
2023	A*	`conf`	Personalized Dictionary Learning for Heterogeneous Datasets. NeurIPS Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023	J	`jnl`	Personalized Dictionary Learning for Heterogeneous Datasets. CoRR Geyu Liang, Naichen Shi, Raed Al Kontar, Salar Fattahi
2023	J	`jnl`	Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. J. Mach. Learn. Res. Gavin Zhang, Salar Fattahi, Richard Y. Zhang
2023	J	`jnl`	Robust Sparse Mean Estimation via Incremental Learning. CoRR Jianhao Ma, Rui Ray Chen, Yinghui He, Salar Fattahi, Wei Hu
2023	J	`jnl`	Solution Path of Time-varying Markov Random Fields with Discrete Regularization. CoRR Salar Fattahi, Andrés Gómez
2022	J	`jnl`	Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition. CoRR Jianhao Ma, Lingjun Guo, Salar Fattahi
2022	A*	`conf`	Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution. NeurIPS Jianhao Ma, Salar Fattahi
2022	J	`jnl`	Blessing of Nonconvexity in Deep Linear Models: Depth Flattens the Optimization Landscape Around the True Solution. CoRR Jianhao Ma, Salar Fattahi
2022	J	`jnl`	Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization. CoRR Jianhao Ma, Salar Fattahi
2022	J	`jnl`	Preconditioned Gradient Descent for Overparameterized Nonconvex Burer-Monteiro Factorization with Global Optimality Certification. CoRR Gavin Zhang, Salar Fattahi, Richard Y. Zhang
2022	J	`jnl`	Simple Alternating Minimization Provably Solves Complete Dictionary Learning. CoRR Geyu Liang, Gavin Zhang, Salar Fattahi, Richard Y. Zhang
2021	J	`jnl`	Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. CoRR Jianhao Ma, Salar Fattahi
2021	—	`conf`	Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. L4DC Salar Fattahi
2021	A*	`conf`	Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization. NeurIPS Jialun Zhang, Salar Fattahi, Richard Y. Zhang
2021	J	`jnl`	Sample Complexity of Block-Sparse System Identification Problem. IEEE Trans. Control. Netw. Syst. Salar Fattahi, Somayeh Sojoudi
2021	A*	`conf`	Scalable Inference of Sparsely-changing Gaussian Markov Random Fields. NeurIPS Salar Fattahi, Andrés Gómez
2021	J	`jnl`	Scalable Inference of Sparsely-changing Markov Random Fields with Strong Statistical Guarantees. CoRR Salar Fattahi, Andrés Gómez
2021	J	`jnl`	Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow. IEEE Trans. Control. Netw. Syst. Julie Mulvaney-Kemp, Salar Fattahi, Javad Lavaei
2020	—	`conf`	Absence of Spurious Local Trajectories in Time-Varying Optimization: A Control-Theoretic Perspective. CCTA Salar Fattahi, Cédric Josz, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi
2020	J	`jnl`	Efficient Learning of Distributed Linear-Quadratic Control Policies. SIAM J. Control. Optim. Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2020	J	`jnl`	Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis. J. Mach. Learn. Res. Salar Fattahi, Somayeh Sojoudi
2020	J	`jnl`	Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples. CoRR Salar Fattahi
2019	J	`jnl`	Convexification of generalized network flow problem. Math. Program. Somayeh Sojoudi, Salar Fattahi, Javad Lavaei
2019	J	`jnl`	Efficient Learning of Distributed Linear-Quadratic Controllers. CoRR Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	J	`jnl`	Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions. J. Mach. Learn. Res. Salar Fattahi, Somayeh Sojoudi
2019	—	`conf`	Learning Sparse Dynamical Systems from a Single Sample Trajectory. CDC Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	J	`jnl`	Learning Sparse Dynamical Systems from a Single Sample Trajectory. CoRR Salar Fattahi, Nikolai Matni, Somayeh Sojoudi
2019	J	`jnl`	Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. IEEE Access Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
2019	J	`jnl`	Transformation of Optimal Centralized Controllers Into Near-Globally Optimal Static Distributed Controllers. IEEE Trans. Autom. Control. Salar Fattahi, Ghazal Fazelnia, Javad Lavaei, Murat Arcak
2018	C	`conf`	Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem. ACC Salar Fattahi, Somayeh Sojoudi
2018	—	`conf`	Data-Driven Sparse System Identification. Allerton Salar Fattahi, Somayeh Sojoudi
2018	J	`jnl`	Data-Driven Sparse System Identification. CoRR Salar Fattahi, Somayeh Sojoudi
2018	J	`jnl`	Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Robust Principal Component Analysis. CoRR Salar Fattahi, Somayeh Sojoudi
2018	C	`conf`	High-Performance Cooperative Distributed Model Predictive Control for Linear Systems. ACC Georgios Darivianakis, Salar Fattahi, John Lygeros, Javad Lavaei
2018	A*	`conf`	Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion. ICML Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
2018	J	`jnl`	Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models. CoRR Richard Y. Zhang, Salar Fattahi, Somayeh Sojoudi
2018	—	`conf`	Non-Asymptotic Analysis of Block-Regularized Regression Problem. CDC Salar Fattahi, Somayeh Sojoudi
2018	—	`conf`	Sparse Inverse Covariance Estimation for Chordal Structures. ECC Salar Fattahi, Richard Y. Zhang, Somayeh Sojoudi
2017	—	`conf`	A scalable method for designing distributed controllers for systems with unknown initial states. CDC Salar Fattahi, Javad Lavaei, Murat Arcak
2017	C	`conf`	On the convexity of optimal decentralized control problem and sparsity path. ACC Salar Fattahi, Javad Lavaei
2017	—	`conf`	Promises of conic relaxations in optimal transmission switching of power systems. CDC Salar Fattahi, Javad Lavaei, Alper Atamtürk
2016	—	`conf`	A strong semidefinite programming relaxation of the unit commitment problem. CDC Morteza Ashraphijuo, Salar Fattahi, Javad Lavaei, Alper Atamtürk
2016	—	`conf`	Theoretical guarantees for the design of near globally optimal static distributed controllers. Allerton Salar Fattahi, Javad Lavaei
2015	—	`conf`	Convex analysis of generalized flow networks. CDC Salar Fattahi, Javad Lavaei
2015	—	`conf`	Transformation of optimal centralized controllers into near-global static distributed controllers. CDC Salar Fattahi, Ghazal Fazelnia, Javad Lavaei