Tam Le

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 45

Top Topics

Probability Measures

Mutual Information

Neural Architecture

Top Venues

Publications

Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR (2024)
Tam Le, Truyen Nguyen, Kenji Fukumizu
Generalized Sobolev Transport for Probability Measures on a Graph. CoRR (2024)
Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
Sliced Wasserstein with Random-Path Projecting Directions. CoRR (2024)
Tam Le
Nonsmooth Nonconvex Stochastic Heavy Ball. J. Optim. Theory Appl. 201 (2) (2024)
Samuel Kessler, Tam Le, Vu Nguyen
SAVA: Scalable Learning-Agnostic Data Valuation. CoRR (2024)
Tam Le, Truyen Nguyen, Kenji Fukumizu
Optimal Transport for Measures with Noisy Tree Metric. AISTATS (2024)
Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen
Tree-Sliced Wasserstein Distance on a System of Lines. CoRR (2024)
Tam Le, Truyen Nguyen, Kenji Fukumizu
Scalable Unbalanced Sobolev Transport for Measures on a Graph. AISTATS (2023)
Jérôme Bolte, Tam Le, Edouard Pauwels
Subgradient Sampling for Nonsmooth Nonconvex Minimization. SIAM J. Optim. 33 (4) (2023)
Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR (2023)
Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
Dynamic Flows on Curved Space Generated by Labeled Data. CoRR (2023)
Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
Few-Shot Object Detection via Synthetic Features with Optimal Transport. CoRR (2023)
Tam Le, Truyen Nguyen, Kenji Fukumizu
Optimal Transport for Measures with Noisy Tree Metric. CoRR (2023)
Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
Dynamic Flows on Curved Space Generated by Labeled Data. IJCAI (2023)
Tam Le, Truyen Nguyen, Kenji Fukumizu
Scalable Unbalanced Sobolev Transport for Measures on a Graph. CoRR (2023)
Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. AISTATS (2022)
Tam Le, Truyen Nguyen, Dinh Q. Phung, Viet Anh Nguyen
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. CoRR (2022)
Tam Le, Truyen Nguyen
Entropy Partial Transport with Tree Metrics: Theory and Practice. CoRR (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR (2021)
Tam Le, Nhat Ho, Makoto Yamada
Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS (2021)
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
Point-set Distances for Learning Representations of 3D Point Clouds. CoRR (2021)
Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) (2021)
Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS (2021)
Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
Nonsmooth Implicit Differentiation for Machine Learning and Optimization. CoRR (2021)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML (2021)
Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization. NeurIPS (2021)
Tam Le, Truyen Nguyen
Entropy Partial Transport with Tree Metrics: Theory and Practice. AISTATS (2021)
Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
Point-set Distances for Learning Representations of 3D Point Clouds. ICCV (2021)
Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR (2020)
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams. ECAI (2020)
Tam Le, Matt W. Mutka
PPCA: privacy-preserving conditional actions for IoT environments using smart contracts. MobiQuitous (2019)
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
Tree-Sliced Variants of Wasserstein Distances. NeurIPS (2019)
Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
Safe Grid Search with Optimal Complexity. ICML (2019)
Tam Le, Matt W. Mutka
Access control with delegation for smart home applications. IoTDI (2019)
Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
Tree-Sliced Approximation of Wasserstein Distances. CoRR (2019)
Tam Le, Matt W. Mutka
A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications. WOWMOM (2019)
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams. CoRR (2019)
Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada
On Scalable Variant of Wasserstein Barycenter. CoRR (2019)
Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR (2019)
Tam Le, Nhat Ho, Makoto Yamada
Computationally Efficient Tree Variants of Gromov-Wasserstein. CoRR (2019)
Tam Le, Matt W. Mutka
CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments. SMARTCOMP (2018)
Tam Le, Makoto Yamada
Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. NeurIPS (2018)
Tam Le, Makoto Yamada
Riemannian Manifold Kernel for Persistence Diagrams. CoRR (2018)
Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
Safe Grid Search with Optimal Complexity. CoRR (2018)
Abdelhakim Ahmim, Tam Le, Esther Ososanya, Sasan Haghani
Design and implementation of a home automation system for smart grid applications. ICCE (2016)
Tam Le, Marco Cuturi
Adaptive Euclidean maps for histograms: generalized Aitchison embeddings. Mach. Learn. 99 (2) (2015)
Tam Le, Marco Cuturi
Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. ICML (2015)
Tam Le, Marco Cuturi
Generalized Aitchison Embeddings for Histograms. ACML (2013)