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Riemannian adaptive stochastic gradient algorithms on matrix manifolds.

, , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3262-3271. PMLR, (2019)

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Adaptive stochastic gradient algorithms on Riemannian manifolds., , and . CoRR, (2019)Riemannian adaptive stochastic gradient algorithms on matrix manifolds., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3262-3271. PMLR, (2019)Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach., , , and . Trans. Assoc. Comput. Linguistics, (2019)A Framework for Bilevel Optimization on Riemannian Manifolds., , , and . CoRR, (2024)Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds., , , , and . SIAM J. Optim., 33 (3): 1797-1827 (September 2023)A Riemannian gossip approach to subspace learning on Grassmann manifold., , , and . Mach. Learn., 108 (10): 1783-1803 (2019)A Dual Framework for Low-rank Tensor Completion., , and . CoRR, (2017)A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold., , , and . CoRR, (2017)Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach., , , and . CoRR, (2018)On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 118-126. JMLR.org, (2014)