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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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Riemannian adaptive stochastic gradient algorithms on matrix manifolds., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3262-3271. PMLR, (2019)Adaptive stochastic gradient algorithms on Riemannian manifolds., , and . CoRR, (2019)A Framework for Bilevel Optimization on Riemannian Manifolds., , , and . CoRR, (2024)Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach., , , and . Trans. Assoc. Comput. Linguistics, (2019)Generalized hierarchical kernel learning., , and . J. Mach. Learn. Res., (2015)Improved Differentially Private Riemannian Optimization: Fast Sampling and Variance Reduction., , , and . Trans. Mach. Learn. Res., (2023)SPOT: A Framework for Selection of Prototypes Using Optimal Transport., , and . ECML/PKDD (4), volume 12978 of Lecture Notes in Computer Science, page 535-551. Springer, (2021)Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)., , , , , and . AAAI, page 16298-16299. AAAI Press, (2023)A Simple Approach to Learning Unsupervised Multilingual Embeddings., , and . EMNLP (1), page 2995-3001. Association for Computational Linguistics, (2020)Riemannian Accelerated Gradient Methods via Extrapolation., , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 1554-1585. PMLR, (2023)