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Scalable Counterfactual Distribution Estimation in Multivariate Causal Models.

T. Pham, S. Shimizu, H. Hino, и T. Le. CLeaR, том 236 из Proceedings of Machine Learning Research, стр. 1118-1140. PMLR, (2024)

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Lê Tâm

Thi Tam Le

Minh-Tam Le

Le Minh Tam

NULL Le-Minh-Tam

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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)Sliced Wasserstein with Random-Path Projecting Directions.K. Nguyen, S. Zhang, T. Le, и N. Ho. CoRR, (2024)LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport.Y. Liu, M. Yamada, Y. Tsai, T. Le, R. Salakhutdinov, и Y. Yang. CoRR, (2019)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)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)Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search.V. Nguyen, T. Le, M. Yamada, и M. Osborne. CoRR, (2020)Generalized Aitchison Embeddings for Histograms.T. Le, и M. Cuturi. ACML, том 29 из JMLR Workshop and Conference Proceedings, стр. 293-308. JMLR.org, (2013)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)Raumordnung und Wald: Eine Unters. über d. unterschiedl. Verhältnisse in e. Industriestaat <d. Bundesrepublik Deutschland> u. e. Entwicklungsland <Süd Vietnam>L. Tâm. NA Göttingen, (1969)Adaptive Euclidean maps for histograms: generalized Aitchison embeddings.T. Le, и M. Cuturi. Mach. Learn., 99 (2): 169-187 (2015)

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