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Salar Fattahi
Salar Fattahi
Assistant Professor, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Conic relaxations of the unit commitment problem
S Fattahi, M Ashraphijuo, J Lavaei, A Atamtürk
Energy 134, 1079-1095, 2017
572017
Large-scale sparse inverse covariance estimation via thresholding and max-det matrix completion
RY Zhang, S Fattahi, S Sojoudi
International Conference on Machine Learning, 2018
462018
Learning sparse dynamical systems from a single sample trajectory
S Fattahi, N Matni, S Sojoudi
2019 IEEE 58th Conference on Decision and Control (CDC), 2682-2689, 2019
452019
Transformation of optimal centralized controllers into near-globally optimal static distributed controllers
S Fattahi, G Fazelnia, J Lavaei, M Arcak
IEEE Transactions on Automatic Control 64 (1), 66-80, 2018
442018
A bound strengthening method for optimal transmission switching in power systems
S Fattahi, J Lavaei, A Atamtürk
IEEE Transactions on Power Systems 34 (1), 280-291, 2018
422018
Data-driven sparse system identification
S Fattahi, S Sojoudi
2018 56th Annual Allerton Conference on Communication, Control, and …, 2018
402018
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis.
S Fattahi, S Sojoudi
Journal of Machine Learning Research 21 (59), 1-51, 2020
392020
Graphical lasso and thresholding: Equivalence and closed-form solutions
S Fattahi, S Sojoudi
Journal of machine learning research 20 (10), 1-44, 2019
382019
Efficient learning of distributed linear-quadratic control policies
S Fattahi, N Matni, S Sojoudi
SIAM Journal on Control and Optimization 58 (5), 2927-2951, 2020
36*2020
Preconditioned gradient descent for over-parameterized nonconvex matrix factorization
J Zhang, S Fattahi, RY Zhang
Advances in Neural Information Processing Systems 34, 5985-5996, 2021
302021
Global convergence of sub-gradient method for robust matrix recovery: Small initialization, noisy measurements, and over-parameterization
J Ma, S Fattahi
Journal of Machine Learning Research 24, 1-84, 2023
262023
A graph-based decomposition method for convex quadratic optimization with indicators
P Liu, S Fattahi, A Gómez, S Küçükyavuz
Mathematical Programming 200 (2), 669-701, 2023
192023
Sign-rip: A robust restricted isometry property for low-rank matrix recovery
J Ma, S Fattahi
Advances in Neural Information Processing Systems, Workshop on Optimization …, 2021
18*2021
On the convexity of optimal decentralized control problem and sparsity path
S Fattahi, J Lavaei
2017 American Control Conference (ACC), 3359-3366, 2017
182017
A strong semidefinite programming relaxation of the unit commitment problem
M Ashraphijuo, S Fattahi, J Lavaei, A Atamtürk
2016 IEEE 55th conference on decision and control (CDC), 694-701, 2016
162016
Transformation of optimal centralized controllers into near-global static distributed controllers
S Fattahi, G Fazelnia, J Lavaei
2015 54th IEEE Conference on Decision and Control (CDC), 4915-4922, 2015
152015
Linear-time algorithm for learning large-scale sparse graphical models
S Fattahi, RY Zhang, S Sojoudi
IEEE access 7, 12658-12672, 2019
142019
Exact guarantees on the absence of spurious local minima for non-negative robust principal component analysis
S Fattahi, S Sojoudi
arXiv preprint arXiv:1812.11466 15, 2018
142018
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
G Zhang, S Fattahi, RY Zhang
Journal of Machine Learning Research 24, 1-55, 2023
132023
On the Absence of Spurious Local Trajectories in Time-varying Nonconvex Optimization
S Fattahi, C Josz, Y Ding, RM Ghazi, J Lavaei, S Sojoudi
IEEE Transactions on Automatic Control, 2021
13*2021
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