Preprints:
- Implicit Regularization of Sub-gradient Method in Robust Matrix Recovery: Don’t be Afraid of Outliers, submitted for publication, 2021,
J. Ma and S. Fattahi - Scalable Inference of Sparsely-Changing Markov Random Fields with Strong Statistical Guarantees, submitted for publication, submitted for publication, 2021,
S. Fattahi and A. Gomez - Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples, submitted for publication, 2020,
S. Fattahi -
Smoothing Property of Load Variation Promotes Finding Global Solutions of Time-Varying Optimal Power Flow, submitted for publication, 2020,
J. Mulvaney-Kemp, S. Fattahi, and J. Lavaei -
Absence of Spurious Local Trajectories in Time-varying Optimization, submitted for publication, 2019,
S. Fattahi, C. Josz, R. Mohammadi, J. Lavaei, and S. Sojoudi -
Sample Complexity of Sparse System Identification, submitted for publication, 2018,
S. Fattahi and S. Sojoudi
Journal Papers:
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Efficient Learning of Distributed Linear-Quadratic Controllers, SIAM Journal on Control and Optimization, 2020,
S. Fattahi, N. Matni, and S. Sojoudi -
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis, Journal of Machine Learning Research (JMLR), 2020,
S. Fattahi and S. Sojoudi -
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions, Journal of Machine Learning Research (JMLR), 2019,
S. Fattahi and S. Sojoudi
INFORMS Data Mining Best Paper Award, 2018.
Katta G. Murty Best Paper Award, 2018. -
Convexification of Generalized Network Flow Problem, Mathematical Programming, 2019,
S. Sojoudi, S. Fattahi and J. Lavaei -
A Bound Strengthening Method for Optimal Transmission Switching in Power Systems, to appear in IEEE Transactions on Power Systems, 2019,
S. Fattahi, J. Lavaei and A. Atamturk -
Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models, IEEE Access, 2019,
S. Fattahi and S. Sojoudi -
Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers, IEEE Transactions on Automatic Control, 2019,
S. Fattahi, G. Fazelnia and J. Lavaei -
Conic Relaxation of the Unit Commitment Problem, Energy, 2017,
S. Fattahi, M. Ashraphijou, J. Lavaei and A. Atamturk
Conference Papers:
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Load Variation Enables Escaping Poor Solutions of Time-Varying Optimal Power Flow, IEEE Power & Energy Society General Meeting, 2020,
J. Mulvaney-Kemp, S. Fattahi, and J. Lavaei
Best Conference Paper Award (one of multiple awards) -
Learning Sparse Dynamical Systems from a Single Sample Trajectory, IEEE Conference on Decision and Control (CDC), 2019,
S. Fattahi, N. Matni, and S. Sojoudi -
Data-Driven Sparse System Identification, 56th Annual Allerton Conference on Communication, Control, and Computing, 2018
S. Fattahi and S. Sojoudi -
Non-Asymptotic Analysis of Block-Regularized Regression Problem, IEEE Conference on Decision and Control (CDC), 2018
S. Fattahi and S. Sojoudi -
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion, International Conference on Machine Learning (ICML), pp. 5761-5770, 2018
R. Y. Zhang, S. Fattahi and S. Sojoudi -
Sparse Inverse Covariance Estimation for Chordal Structures, European Control Conference (ECC), 2018
S. Fattahi, R. Y. Zhang and S. Sojoudi -
Closed-Form Solution and Sparsity Path for Inverse Covariance Estimation Problem, American Control Conference (ACC), 2018
S. Fattahi and S. Sojoudi
Best Paper Award-Finalist. -
High-Performance Cooperative Distributed Model Predictive Control for Linear Systems, American Control Conference (ACC), 2018
G. Darivianakis, S. Fattahi, J. Lygeros and J. Lavaei -
Promises of Conic Relaxations in Optimal Transmission Switching of Power Systems, IEEE Conference on Decision and Control (CDC),2017
S. Fattahi, J. Lavaei and A. Atamturk -
A Scalable Method for Designing Distributed Controllers for Systems with Unknown Initial States, IEEE Conference on Decision and Control (CDC), 2017
S. Fattahi, J. Lavaei and M. Arcak -
On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, American Control Conference (ACC), 2017
S. Fattahi and J. Lavaei -
Theoretical Guarantees for the Design of Near Globally Optimal Static, 54th Annual Allerton Conference on Communication, Control, and Computing, 2016
S. Fattahi and J. Lavaei -
A Strong Semidefinite Programming Relaxation of the Unit Commitment Problem, IEEE Conference on Decision and Control (CDC), pp. 694-701, 2016
M. Ashraphijou, S. Fattahi, J. Lavaei and A. Atamturk -
Convex Analysis of Generalized Flow Networks, IEEE Conference on Decision and Control (CDC), 2015
S. Fattahi and J. Lavaei -
Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers, IEEE Conference on Decision and Control (CDC), 2015
S. Fattahi, G. Fazelnia and J. Lavaei -
An Algorithm for Detecting Exact Regions of Moving Objects in Video Frames, International Symposium on Telecommunication, 2014
S. Fattahi, M. Azghani and F. Marvasti