A new first-order algorithmic framework for optimization problems with orthogonality constraints B Gao, X Liu, X Chen, Y Yuan SIAM Journal on Optimization 28 (1), 302-332, 2018 | 90* | 2018 |
Parallelizable algorithms for optimization problems with orthogonality constraints B Gao, X Liu, Y Yuan SIAM Journal on Scientific Computing 41 (3), A1949-A1983, 2019 | 60 | 2019 |
Riemannian optimization on the symplectic Stiefel manifold B Gao, NT Son, PA Absil, T Stykel SIAM Journal on Optimization 31 (2), 1546-1575, 2021 | 35 | 2021 |
A Riemannian rank-adaptive method for low-rank matrix completion B Gao, PA Absil Computational Optimization and Applications 81, 67-90, 2022 | 32 | 2022 |
Computing symplectic eigenpairs of symmetric positive-definite matrices via trace minimization and Riemannian optimization NT Son, PA Absil, B Gao, T Stykel SIAM Journal on Matrix Analysis and Applications 42 (4), 1732-1757, 2021 | 27* | 2021 |
Multipliers Correction Methods for Optimization Problems over the Stiefel Manifold L Wang, B Gao, X Liu CSIAM Transactions on Applied Mathematics 2 (3), 508-531, 2021 | 14 | 2021 |
On the {\L} ojasiewicz exponent of the quadratic sphere constrained optimization problem B Gao, X Liu, X Chen, Y Yuan arXiv preprint arXiv:1611.08781, 2016 | 12 | 2016 |
An orthogonalization-free parallelizable framework for all-electron calculations in density functional theory B Gao, G Hu, Y Kuang, X Liu SIAM Journal on Scientific Computing 44 (3), B723-B745, 2022 | 10 | 2022 |
Infeasible deterministic, stochastic, and variance-reduction algorithms for optimization under orthogonality constraints P Ablin, S Vary, B Gao, PA Absil arXiv preprint arXiv:2303.16510, 2023 | 9 | 2023 |
Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications B Gao, NT Son, T Stykel Linear Algebra and its Applications 682, 50-85, 2024 | 8 | 2024 |
Geometry of the symplectic Stiefel manifold endowed with the Euclidean metric B Gao, NT Son, PA Absil, T Stykel Geometric Science of Information: 5th International Conference, GSI 2021 …, 2021 | 8 | 2021 |
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition B Gao, R Peng, Y Yuan Computational Optimization and Applications 88 (2), 443-468, 2024 | 7 | 2024 |
New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition S Dong, B Gao, Y Guan, F Glineur SIAM Journal on Matrix Analysis and Applications 43 (2), 840-866, 2022 | 7 | 2022 |
Alternating minimization algorithms for graph regularized tensor completion Y Guan, S Dong, B Gao, PA Absil, F Glineur arXiv preprint arXiv:2008.12876, 2020 | 7 | 2020 |
Optimization flows landing on the Stiefel manifold B Gao, S Vary, P Ablin, PA Absil IFAC-PapersOnLine 55 (30), 25-30, 2022 | 6 | 2022 |
On the analysis of optimization with fixed-rank matrices: a quotient geometric view S Dong, B Gao, W Huang, KA Gallivan arXiv preprint arXiv:2203.06765, 2022 | 4 | 2022 |
Optimization on product manifolds under a preconditioned metric B Gao, R Peng, Y Yuan arXiv preprint arXiv:2306.08873, 2023 | 2 | 2023 |
First-order algorithms for optimization problems with orthogonality constraints B GAO, X LIU, Y YUAN Operations Research 21 (4), 2017 | 2 | 2017 |
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace B Gao, Y Yang, Y Yuan arXiv preprint arXiv:2404.03331, 2024 | 1 | 2024 |
Low-rank optimization on Tucker tensor varieties B Gao, R Peng, Y Yuan arXiv preprint arXiv:2311.18324, 2023 | 1 | 2023 |