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Minhui Huang
Minhui Huang
Research Scientist
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
A riemannian block coordinate descent method for computing the projection robust wasserstein distance
M Huang, S Ma, L Lai
International Conference on Machine Learning, 4446-4455, 2021
442021
Decentralized bilevel optimization
X Chen, M Huang, S Ma
Optimization Letters, 1-65, 2024
342024
Robust low-rank matrix completion via an alternating manifold proximal gradient continuation method
M Huang, S Ma, L Lai
IEEE Transactions on Signal Processing 69, 2639-2652, 2021
192021
Efficiently escaping saddle points in bilevel optimization
M Huang, K Ji, S Ma, L Lai
arXiv preprint arXiv:2202.03684, 2022
172022
Decentralized stochastic bilevel optimization with improved per-iteration complexity
X Chen, M Huang, S Ma, K Balasubramanian
International Conference on Machine Learning, 4641-4671, 2023
152023
Projection robust Wasserstein barycenters
M Huang, S Ma, L Lai
International Conference on Machine Learning, 4456-4465, 2021
112021
Achieving linear speedup in non-iid federated bilevel learning
M Huang, D Zhang, K Ji
International Conference on Machine Learning, 14039-14059, 2023
82023
Escaping saddle points for nonsmooth weakly convex functions via perturbed proximal algorithms
M Huang
arXiv preprint arXiv:2102.02837, 2021
72021
On the convergence of projected alternating maximization for equitable and optimal transport
M Huang, S Ma, L Lai
arXiv preprint arXiv:2109.15030, 2021
32021
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
W Shen, M Huang, J Zhang, C Shen
arXiv preprint arXiv:2311.00944, 2023
2023
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Articles 1–10