| 2025 | ICLR | SAVA: Scalable Learning-Agnostic Data Valuation. | Samuel Kessler, Tam Le, Vu Nguyen |
| 2025 | ICLR | Universal generalization guarantees for Wasserstein distributionally robust models. | Tam Le, Jrme Malick |
| 2025 | ICLR | Spherical Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Thanh T. Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen |
| 2025 | ICLR | Distance-Based Tree-Sliced Wasserstein Distance. | Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh T. Chu, Tam Le, Tan Minh Nguyen |
| 2025 | ICML | Scalable Sobolev IPM for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu |
| 2025 | ICML | Tree-Sliced Wasserstein Distance: A Geometric Perspective. | Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh T. Chu, Tam Le, Tan Minh Nguyen |
| 2025 | ICML | Tree-Sliced Wasserstein Distance with Nonlinear Projection. | Thanh Tran, Hoang V. Tran, Thanh T. Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen |
| 2024 | AISTATS | Optimal Transport for Measures with Noisy Tree Metric. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2024 | ICML | Generalized Sobolev Transport for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2024 | ICML | Sliced Wasserstein with Random-Path Projecting Directions. | Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho |
| 2023 | AISTATS | Scalable Unbalanced Sobolev Transport for Measures on a Graph. | Tam Le, Truyen Nguyen, Kenji Fukumizu |
| 2023 | IJCAI | Dynamic Flows on Curved Space Generated by Labeled Data. | Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen |
| 2022 | AISTATS | Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. | Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen |
| 2021 | AISTATS | Flow-based Alignment Approaches for Probability Measures in Different Spaces. | Tam Le, Nhat Ho, Makoto Yamada |
| 2021 | AISTATS | Entropy Partial Transport with Tree Metrics: Theory and Practice. | Tam Le, Truyen Nguyen |
| 2021 | ICCV | Point-set Distances for Learning Representations of 3D Point Clouds. | Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua |
| 2021 | ICML | Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. | Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne |
| 2020 | ECAI | Topological Bayesian Optimization with Persistence Diagrams. | Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada |
| 2019 | ICML | Safe Grid Search with Optimal Complexity. | Eugne Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi |
| 2019 | Mobiquitous | PPCA: privacy-preserving conditional actions for IoT environments using smart contracts. | Tam Le, Matt W. Mutka |
| 2019 | WoWMoM | A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications. | Tam Le, Matt W. Mutka |
| 2018 | SmartComp | CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments. | Tam Le, Matt W. Mutka |
| 2015 | ICML | Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. | Tam Le, Marco Cuturi |
| 2013 | ACML | Generalized Aitchison Embeddings for Histograms. | Tam Le, Marco Cuturi |