| Conic relaxations of the unit commitment problem S Fattahi, M Ashraphijuo, J Lavaei, A Atamtürk Energy 134, 1079-1095, 2017 | 65 | 2017 |
| 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 | 55 | 2019 |
| 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 | 47 | 2018 |
| 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 | 46 | 2018 |
| 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 | 45 | 2018 |
| Graphical lasso and thresholding: Equivalence and closed-form solutions S Fattahi, S Sojoudi Journal of machine learning research 20 (10), 1-44, 2019 | 44 | 2019 |
| 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 | 42 | 2020 |
| Data-driven sparse system identification S Fattahi, S Sojoudi 2018 56th Annual Allerton Conference on Communication, Control, and …, 2018 | 42 | 2018 |
| 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 | 41 | 2021 |
| 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 | 38* | 2020 |
| 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 | 36 | 2023 |
| 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 | 23 | 2023 |
| 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 | 22 | 2023 |
| 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 | 22* | 2021 |
| On the convexity of optimal decentralized control problem and sparsity path S Fattahi, J Lavaei 2017 American Control Conference (ACC), 3359-3366, 2017 | 18 | 2017 |
| 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 | 16 | 2016 |
| 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 | 15 | 2015 |
| Learning partially observed linear dynamical systems from logarithmic number of samples S Fattahi Learning for Dynamics and Control, 60-72, 2021 | 14 | 2021 |
| Linear-time algorithm for learning large-scale sparse graphical models S Fattahi, RY Zhang, S Sojoudi IEEE access 7, 12658-12672, 2019 | 14 | 2019 |
| 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 | 14 | 2018 |
Somayeh SojoudiAssociate Professor, EECS, ME, UC Berkeleyberkeley.edu의 이메일 확인됨