Bin Gao

Orcid: 0000-0001-5290-4675

Affiliations:
  • Academy of Mathematics and Systems Science, Beijing, China
  • University of Münster, Germany (former)
  • UCLouvain, Belgium (former)


According to our database1, Bin Gao authored at least 26 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Optimization over the intersection of manifolds.
CoRR, May, 2026

A second-order method landing on the Stiefel manifold via Newton-Schulz iteration.
CoRR, May, 2026

Quotient geometry of tensor ring decomposition.
CoRR, January, 2026

2025
Low-rank optimization on Tucker tensor varieties.
Math. Program., November, 2025

Variational analysis of determinantal varieties.
CoRR, November, 2025

Normalized tensor train decomposition.
CoRR, November, 2025

First-order methods on bounded-rank tensors converging to stationary points.
CoRR, March, 2025

A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints.
CoRR, January, 2025

Optimization on Product Manifolds under a Preconditioned Metric.
SIAM J. Matrix Anal. Appl., 2025

LancBiO: Dynamic Lanczos-aided Bilevel Optimization via Krylov Subspace.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bilevel Reinforcement Learning via the Development of Hyper-gradient without Lower-Level Convexity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition.
Comput. Optim. Appl., June, 2024

Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints.
J. Mach. Learn. Res., 2024

Desingularization of bounded-rank tensor sets.
CoRR, 2024

Symplectic Stiefel manifold: tractable metrics, second-order geometry and Newton's methods.
CoRR, 2024

Optimization without Retraction on the Random Generalized Stiefel Manifold.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022
An Orthogonalization-Free Parallelizable Framework for All-Electron Calculations in Density Functional Theory.
SIAM J. Sci. Comput., 2022

New Riemannian Preconditioned Algorithms for Tensor Completion via Polyadic Decomposition.
SIAM J. Matrix Anal. Appl., 2022

Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications.
CoRR, 2022

On the analysis of optimization with fixed-rank matrices: a quotient geometric view.
CoRR, 2022

A Riemannian rank-adaptive method for low-rank matrix completion.
Comput. Optim. Appl., 2022

2021
Computing Symplectic Eigenpairs of Symmetric Positive-Definite Matrices via Trace Minimization and Riemannian Optimization.
SIAM J. Matrix Anal. Appl., 2021

Riemannian Optimization on the Symplectic Stiefel Manifold.
SIAM J. Optim., 2021

Geometry of the Symplectic Stiefel Manifold Endowed with the Euclidean Metric.
Proceedings of the Geometric Science of Information - 5th International Conference, 2021

2019
Parallelizable Algorithms for Optimization Problems with Orthogonality Constraints.
SIAM J. Sci. Comput., 2019

2018
A New First-Order Algorithmic Framework for Optimization Problems with Orthogonality Constraints.
SIAM J. Optim., 2018


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