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Haixiang Zhang
Haixiang Zhang
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
232021
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
182022
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
102022
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
82021
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
72020
Gradient-based algorithms for convex discrete optimization via simulation
H Zhang, Z Zheng, J Lavaei
Operations Research 71 (5), 1815-1834, 2022
52022
Stochastic -convex Function Minimization
H Zhang, Z Zheng, J Lavaei
Advances in Neural Information Processing Systems 34, 13004-13018, 2021
52021
Stochastic Localization Methods for Discrete Convex Simulation Optimization
H Zhang, Z Zheng, J Lavaei
Operations Research, 2023
42023
A new complexity metric for nonconvex rank-one generalized matrix completion
H Zhang, B Yalcin, J Lavaei, S Sojoudi
Mathematical Programming, 1-42, 2023
3*2023
Exact Recovery for System Identification with More Corrupt Data than Clean Data
B Yalcin, H Zhang, J Lavaei, M Arcak
arXiv preprint arXiv:2305.10506, 2023
12023
Selection of the Best under Convexity
H Zhang, Z Zheng, J Lavaei
Available at SSRN 3848865, 2021
12021
Geometric Analysis of Matrix Sensing over Graphs
H Zhang, Y Chen, J Lavaei
Advances in Neural Information Processing Systems 36, 2024
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
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
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
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
2022
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