General low-rank matrix optimization: Geometric analysis and sharper bounds H Zhang, Y Bi, J Lavaei Advances in Neural Information Processing Systems 34, 27369-27380, 2021 | 31 | 2021 |
Local and global linear convergence of general low-rank matrix recovery problems Y Bi, H Zhang, J Lavaei Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 10129 …, 2022 | 24 | 2022 |
Factorization approach for low-complexity matrix completion problems: Exponential number of spurious solutions and failure of gradient methods B Yalçın, H Zhang, J Lavaei, S Sojoudi International Conference on Artificial Intelligence and Statistics, 319-341, 2022 | 12 | 2022 |
Gradient-based algorithms for convex discrete optimization via simulation H Zhang, Z Zheng, J Lavaei Operations Research 71 (5), 1815-1834, 2022 | 12 | 2022 |
On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint H Zhang, A Milzarek, Z Wen, W Yin Mathematical Programming, 1-53, 2021 | 8 | 2021 |
Stochastic -convex Function Minimization H Zhang, Z Zheng, J Lavaei Advances in Neural Information Processing Systems 34, 13004-13018, 2021 | 7 | 2021 |
A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems H Feng, H Zhang, J Lavaei 2020 59th IEEE Conference on Decision and Control (CDC), 4255-4261, 2020 | 7 | 2020 |
A new complexity metric for nonconvex rank-one generalized matrix completion H Zhang, B Yalcin, J Lavaei, S Sojoudi Mathematical Programming 207 (1), 227-268, 2024 | 5* | 2024 |
Stochastic Localization Methods for Discrete Convex Simulation Optimization H Zhang, Z Zheng, J Lavaei Operations Research, 2023 | 5* | 2023 |
Exact recovery for system identification with more corrupt data than clean data B Yalcin, H Zhang, J Lavaei, M Arcak IEEE Open Journal of Control Systems, 2024 | 2 | 2024 |
Geometric Analysis of Matrix Sensing over Graphs H Zhang, Y Chen, J Lavaei Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
Exact Recovery Guarantees for Parameterized Non-linear System Identification Problem under Adversarial Attacks H Zhang, B Yalcin, J Lavaei, E Sontag University of California, Berkeley, 2024 | 1 | 2024 |
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints E Brock*, H Zhang*, JM Kemp, J Lavaei, S Sojoudi 2023 62nd IEEE Conference on Decision and Control (CDC), 4320-4326, 2023 | 1 | 2023 |
Uniqueness of Power Flow Solutions Using Graph-theoretic Notions H Zhang, SW Park, J Lavaei, R Baldick IEEE Transactions on Control of Network Systems 9 (1), 100-112, 2022 | 1 | 2022 |
Selection of the Best under Convexity H Zhang, Z Zheng, J Lavaei Available at SSRN 3848865, 2021 | 1 | 2021 |
Provably Efficient Algorithms for Non-convex Optimization with Benign Structures H Zhang University of California, Berkeley, 2024 | | 2024 |
Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy E Brock, H Zhang, J Lavaei, S Sojoudi University of California, Berkeley, 2024 | | 2024 |