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Andi Han
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Improved variance reduction methods for Riemannian non-convex optimization
A Han, J Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
10*2021
On Riemannian optimization over positive definite matrices with the Bures-Wasserstein geometry
A Han, B Mishra, PK Jawanpuria, J Gao
Advances in Neural Information Processing Systems 34, 8940-8953, 2021
72021
Riemannian stochastic recursive momentum method for non-convex optimization
A Han, J Gao
arXiv preprint arXiv:2008.04555, 2020
52020
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient
A Han, J Gao
arXiv preprint arXiv:2010.12191, 2020
32020
A Simple Yet Effective SVD-GCN for Directed Graphs
C Zou, A Han, L Lin, J Gao
arXiv preprint arXiv:2205.09335, 2022
22022
Differentially private Riemannian optimization
A Han, B Mishra, P Jawanpuria, J Gao
arXiv preprint arXiv:2205.09494, 2022
22022
Riemannian block SPD coupling manifold and its application to optimal transport
A Han, B Mishra, P Jawanpuria, J Gao
arXiv preprint arXiv:2201.12933, 2022
22022
Generalized energy and gradient flow via graph framelets
A Han, D Shi, Z Shao, J Gao
arXiv preprint arXiv:2210.04124, 2022
12022
Riemannian accelerated gradient methods via extrapolation
A Han, B Mishra, P Jawanpuria, J Gao
arXiv preprint arXiv:2208.06619, 2022
12022
Riemannian Hamiltonian methods for min-max optimization on manifolds
A Han, B Mishra, P Jawanpuria, P Kumar, J Gao
arXiv preprint arXiv:2204.11418, 2022
12022
Generalized Bures-Wasserstein geometry for positive definite matrices
A Han, B Mishra, P Jawanpuria, J Gao
arXiv preprint arXiv:2110.10464, 2021
12021
Generalized Laplacian Regularized Framelet GCNs
Z Shao, A Han, D Shi, A Vasnev, J Gao
arXiv preprint arXiv:2210.15092, 2022
2022
Rieoptax: Riemannian Optimization in JAX
S Utpala, A Han, P Jawanpuria, B Mishra
arXiv preprint arXiv:2210.04840, 2022
2022
A Discussion On the Validity of Manifold Learning
D Shi, A Han, Y Guo, J Gao
arXiv preprint arXiv:2106.01608, 2021
2021
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Articles 1–14