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 | 49 | 2021 |
Decentralized bilevel optimization X Chen, M Huang, S Ma Optimization Letters, 1-65, 2024 | 38 | 2024 |
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 | 20 | 2021 |
Efficiently escaping saddle points in bilevel optimization M Huang, X Chen, K Ji, S Ma, L Lai arXiv preprint arXiv:2202.03684, 2022 | 19 | 2022 |
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 | 17 | 2023 |
Projection robust Wasserstein barycenters M Huang, S Ma, L Lai International Conference on Machine Learning, 4456-4465, 2021 | 13 | 2021 |
Achieving linear speedup in non-iid federated bilevel learning M Huang, D Zhang, K Ji International Conference on Machine Learning, 14039-14059, 2023 | 10 | 2023 |
Escaping saddle points for nonsmooth weakly convex functions via perturbed proximal algorithms M Huang arXiv preprint arXiv:2102.02837, 2021 | 7 | 2021 |
On the convergence of projected alternating maximization for equitable and optimal transport M Huang, S Ma, L Lai arXiv preprint arXiv:2109.15030, 2021 | 4 | 2021 |
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization W Shen, M Huang, J Zhang, C Shen International Conference on Artificial Intelligence and Statistics, 3988-3996, 2024 | | 2024 |