Le, Tam

33 publications

NeurIPS 2025 An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu

ICLR 2025 Distance-Based Tree-Sliced Wasserstein Distance Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan Minh Nguyen

ICLRW 2025 Distance-Based Tree-Sliced Wasserstein Distance Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh Chu, Tam Le, Tan Minh Nguyen

ICLR 2025 SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler, Tam Le, Vu Nguyen

ICML 2025 Scalable Sobolev IPM for Probability Measures on a Graph Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu

ICLR 2025 Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen

ICLRW 2025 Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran, Thanh Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen

TMLR 2025 Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel Keishi Sando, Tam Le, Hideitsu Hino

NeurIPS 2025 Tree-Sliced Entropy Partial Transport Viet-Hoang Tran, Thanh Tran, Thanh Chu, Tam Le, Tan Minh Nguyen

ICML 2025 Tree-Sliced Wasserstein Distance with Nonlinear Projection Thanh Tran, Hoang V. Tran, Thanh Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen

ICML 2025 Tree-Sliced Wasserstein Distance: A Geometric Perspective Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh Chu, Tam Le, Tan Minh Nguyen

ICLR 2025 Universal Generalization Guarantees for Wasserstein Distributionally Robust Models Tam Le, Jerome Malick

ICML 2024 Generalized Sobolev Transport for Probability Measures on a Graph Tam Le, Truyen Nguyen, Kenji Fukumizu

AISTATS 2024 Optimal Transport for Measures with Noisy Tree Metric Tam Le, Truyen Nguyen, Kenji Fukumizu

CLeaR 2024 Scalable Counterfactual Distribution Estimation in Multivariate Causal Models Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le

ICML 2024 Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

IJCAI 2023 Dynamic Flows on Curved Space Generated by Labeled Data Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen

NeurIPSW 2023 Optimal Transport for Measures with Noisy Tree Metric Tam Le, Truyen Nguyen, Kenji Fukumizu

AISTATS 2023 Scalable Unbalanced Sobolev Transport for Measures on a Graph Tam Le, Truyen Nguyen, Kenji Fukumizu

AISTATS 2022 Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen

AISTATS 2021 Entropy Partial Transport with Tree Metrics: Theory and Practice Tam Le, Truyen Nguyen

AISTATS 2021 Flow-Based Alignment Approaches for Probability Measures in Different Spaces Tam Le, Nhat Ho, Makoto Yamada

NeurIPS 2021 Adversarial Regression with Doubly Non-Negative Weighting Matrices Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen

ECML-PKDD 2021 LSMI-Sinkhorn: Semi-Supervised Mutual Information Estimation with Optimal Transport Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang

NeurIPS 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization Jérôme Bolte, Tam Le, Edouard Pauwels, Tony Silveti-Falls

ICML 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne

ICCV 2021 Point-Set Distances for Learning Representations of 3D Point Clouds Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua

ICML 2019 Safe Grid Search with Optimal Complexity Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

NeurIPS 2019 Tree-Sliced Variants of Wasserstein Distances Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi

NeurIPS 2018 Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams Tam Le, Makoto Yamada

MLJ 2015 Adaptive Euclidean Maps for Histograms: Generalized Aitchison Embeddings Tam Le, Marco Cuturi

ICML 2015 Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations Tam Le, Marco Cuturi

ACML 2013 Generalized Aitchison Embeddings for Histograms Tam Le, Marco Cuturi