Publications

Preprints:

  1. 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

  2. Scalable Inference of Sparsely-Changing Markov Random Fields with Strong Statistical Guarantees, submitted for publication, 2021,
           S. Fattahi and A. Gomez

  3. 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

  4. Absence of Spurious Local Trajectories in Time-varying Optimization, submitted for publication, 2019,
           S. Fattahi, C. Josz, R. Mohammadi, J. Lavaei, and S. Sojoudi

  5. Sample Complexity of Sparse System Identification, submitted for publication, 2018,
           S. Fattahi and S. Sojoudi


Journal Papers:

  1. Efficient Learning of Distributed Linear-Quadratic Controllers, SIAM Journal on Control and Optimization, 2020,
           S. Fattahi, N. Matni, and S. Sojoudi

  2. 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

  3. 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.

  4. Convexification of Generalized Network Flow Problem, Mathematical Programming, 2019,
           S. Sojoudi, S. Fattahi and J. Lavaei

  5. 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

  6. Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models, IEEE Access, 2019,
           S. Fattahi and S. Sojoudi

  7. Transformation of Optimal Centralized Controllers Into Near-Global Static Distributed Controllers, IEEE Transactions on Automatic Control, 2019,
           S. Fattahi, G. Fazelnia and J. Lavaei

  8. Conic Relaxation of the Unit Commitment Problem, Energy, 2017,
           S. Fattahi, M. Ashraphijou, J. Lavaei and A. Atamturk


Conference Papers:

  1. Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples, Learning for Dynamics & Control Conference, 2021,
           S. Fattahi

  2. 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)

  3. Learning Sparse Dynamical Systems from a Single Sample Trajectory, IEEE Conference on Decision and Control (CDC), 2019,
           S. Fattahi, N. Matni, and S. Sojoudi

  4. Data-Driven Sparse System Identification, 56th Annual Allerton Conference on Communication, Control, and Computing, 2018
           S. Fattahi and S. Sojoudi

  5. Non-Asymptotic Analysis of Block-Regularized Regression Problem, IEEE Conference on Decision and Control (CDC), 2018
           S. Fattahi and S. Sojoudi

  6. 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

  7. Sparse Inverse Covariance Estimation for Chordal Structures, European Control Conference (ECC), 2018
           S. Fattahi, R. Y. Zhang and S. Sojoudi

  8. 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.

  9. High-Performance Cooperative Distributed Model Predictive Control for Linear Systems, American Control Conference (ACC), 2018
           G. Darivianakis, S. Fattahi, J. Lygeros and J. Lavaei

  10. 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

  11. 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

  12. On the Convexity of Optimal Decentralized Control Problem and Sparsity Path, American Control Conference (ACC), 2017
           S. Fattahi and J. Lavaei

  13. 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

  14. 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

  15. Convex Analysis of Generalized Flow Networks, IEEE Conference on Decision and Control (CDC), 2015
           S. Fattahi and J. Lavaei

  16. 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

  17. An Algorithm for Detecting Exact Regions of Moving Objects in Video Frames, International Symposium on Telecommunication, 2014
           S. Fattahi, M. Azghani and F. Marvasti