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Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations.

T. Le, и M. Cuturi. ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 2002-2011. JMLR.org, (2015)

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Lê Tâm

Thi Tam Le

Minh-Tam Le

Le Minh Tam

NULL Le-Minh-Tam

Другие публикации лиц с тем же именем

Safe Grid Search with Optimal Complexity.E. Ndiaye, T. Le, O. Fercoq, J. Salmon, и I. Takeuchi. ICML, том 97 из Proceedings of Machine Learning Research, стр. 4771-4780. PMLR, (2019)LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport.Y. Liu, M. Yamada, Y. Tsai, T. Le, R. Salakhutdinov, и Y. Yang. ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 655-670. Springer, (2021)Scalable Unbalanced Sobolev Transport for Measures on a Graph.T. Le, T. Nguyen, и K. Fukumizu. AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 8521-8560. PMLR, (2023)Tree-Sliced Wasserstein Distance on a System of Lines.V. Tran, T. Pham, T. Tran, T. Le, и T. Nguyen. CoRR, (2024)Sliced Wasserstein with Random-Path Projecting Directions.K. Nguyen, S. Zhang, T. Le, и N. Ho. ICML, OpenReview.net, (2024)Design and implementation of a home automation system for smart grid applications.A. Ahmim, T. Le, E. Ososanya, и S. Haghani. ICCE, стр. 538-539. IEEE, (2016)Topological Bayesian Optimization with Persistence Diagrams.T. Shiraishi, T. Le, H. Kashima, и M. Yamada. ECAI, том 325 из Frontiers in Artificial Intelligence and Applications, стр. 1483-1490. IOS Press, (2020)Nonsmooth Implicit Differentiation for Machine-Learning and Optimization.J. Bolte, T. Le, E. Pauwels, и A. Silveti-Falls. NeurIPS, стр. 13537-13549. (2021)Flow-based Alignment Approaches for Probability Measures in Different Spaces.T. Le, N. Ho, и M. Yamada. AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3934-3942. PMLR, (2021)Entropy Partial Transport with Tree Metrics: Theory and Practice.T. Le, и T. Nguyen. AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3835-3843. PMLR, (2021)

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