Tam Le - RankMe

66 papers A* 18A 6B 1C 4Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sobolev-Ricci Curvature. CoRR Kyoichi Iwasaki, Tam Le, Hideitsu Hino
2025	A*	`conf`	Distance-Based Tree-Sliced Wasserstein Distance. ICLR Hoang V. Tran, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Thanh T. Chu, Tam Le, Tan Minh Nguyen
2025	J	`jnl`	Distance-Based Tree-Sliced Wasserstein Distance. CoRR Hoang V. Tran, Khoi N. M. Nguyen, Trang Pham, Thanh T. Chu, Tam Le, Tan M. Nguyen
2025	J	`jnl`	Few-shot object detection via synthetic features with optimal transport. Comput. Vis. Image Underst. Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
2025	J	`jnl`	Generalized Sobolev IPM for Graph-Based Measures. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	J	`jnl`	Orlicz-Sobolev Transport for Unbalanced Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	A*	`conf`	SAVA: Scalable Learning-Agnostic Data Valuation. ICLR Samuel Kessler, Tam Le, Vu Nguyen
2025	A*	`conf`	Scalable Sobolev IPM for Probability Measures on a Graph. ICML Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	J	`jnl`	Scalable Sobolev IPM for Probability Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	A*	`conf`	Spherical Tree-Sliced Wasserstein Distance. ICLR Hoang V. Tran, Thanh T. Chu, Minh-Khoi Nguyen-Nhat, Huyen Trang Pham, Tam Le, Tan Minh Nguyen
2025	J	`jnl`	Spherical Tree-Sliced Wasserstein Distance. CoRR Viet-Hoang Tran, Thanh T. Chu, Khoi N. M. Nguyen, Trang Pham, Tam Le, Tan M. Nguyen
2025	J	`jnl`	Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel. Trans. Mach. Learn. Res. Keishi Sando, Tam Le, Hideitsu Hino
2025	A*	`conf`	Tree-Sliced Wasserstein Distance with Nonlinear Projection. ICML Thanh Tran, Hoang V. Tran, Thanh T. Chu, Huyen Trang Pham, Laurent El Ghaoui, Tam Le, Tan Minh Nguyen
2025	J	`jnl`	Tree-Sliced Wasserstein Distance with Nonlinear Projection. CoRR Thanh Tran, Viet-Hoang Tran, Thanh T. Chu, Trang Pham, Laurent El Ghaoui, Tam Le, Tan M. Nguyen
2025	A*	`conf`	Tree-Sliced Wasserstein Distance: A Geometric Perspective. ICML Hoang V. Tran, Huyen Trang Pham, Tho Tran Huu, Minh-Khoi Nguyen-Nhat, Thanh T. Chu, Tam Le, Tan Minh Nguyen
2025	A*	`conf`	Universal generalization guarantees for Wasserstein distributionally robust models. ICLR Tam Le, Jérôme Malick
2024	A*	`conf`	Generalized Sobolev Transport for Probability Measures on a Graph. ICML Tam Le, Truyen Nguyen, Kenji Fukumizu
2024	J	`jnl`	Generalized Sobolev Transport for Probability Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Kenji Fukumizu
2024	J	`jnl`	Nonsmooth Nonconvex Stochastic Heavy Ball. J. Optim. Theory Appl. Tam Le
2024	A	`conf`	Optimal Transport for Measures with Noisy Tree Metric. AISTATS Tam Le, Truyen Nguyen, Kenji Fukumizu
2024	J	`jnl`	SAVA: Scalable Learning-Agnostic Data Valuation. CoRR Samuel Kessler, Tam Le, Vu Nguyen
2024	—	`conf`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2024	A*	`conf`	Sliced Wasserstein with Random-Path Projecting Directions. ICML Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
2024	J	`jnl`	Sliced Wasserstein with Random-Path Projecting Directions. CoRR Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho
2024	J	`jnl`	Tree-Sliced Wasserstein Distance on a System of Lines. CoRR Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen
2023	A*	`conf`	Dynamic Flows on Curved Space Generated by Labeled Data. IJCAI Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
2023	J	`jnl`	Dynamic Flows on Curved Space Generated by Labeled Data. CoRR Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen
2023	J	`jnl`	Few-Shot Object Detection via Synthetic Features with Optimal Transport. CoRR Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen
2023	J	`jnl`	Optimal Transport for Measures with Noisy Tree Metric. CoRR Tam Le, Truyen Nguyen, Kenji Fukumizu
2023	J	`jnl`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2023	A	`conf`	Scalable Unbalanced Sobolev Transport for Measures on a Graph. AISTATS Tam Le, Truyen Nguyen, Kenji Fukumizu
2023	J	`jnl`	Scalable Unbalanced Sobolev Transport for Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Kenji Fukumizu
2023	J	`jnl`	Subgradient Sampling for Nonsmooth Nonconvex Minimization. SIAM J. Optim. Jérôme Bolte, Tam Le, Edouard Pauwels
2022	A	`conf`	Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. AISTATS Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen
2022	J	`jnl`	Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics. CoRR Tam Le, Truyen Nguyen, Dinh Q. Phung, Viet Anh Nguyen
2021	A*	`conf`	Adversarial Regression with Doubly Non-negative Weighting Matrices. NeurIPS Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
2021	J	`jnl`	Adversarial Regression with Doubly Non-negative Weighting Matrices. CoRR Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen
2021	A	`conf`	Entropy Partial Transport with Tree Metrics: Theory and Practice. AISTATS Tam Le, Truyen Nguyen
2021	J	`jnl`	Entropy Partial Transport with Tree Metrics: Theory and Practice. CoRR Tam Le, Truyen Nguyen
2021	A	`conf`	Flow-based Alignment Approaches for Probability Measures in Different Spaces. AISTATS Tam Le, Nhat Ho, Makoto Yamada
2021	—	`conf`	LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. ECML/PKDD (1) Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
2021	J	`jnl`	Nonsmooth Implicit Differentiation for Machine Learning and Optimization. CoRR Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
2021	A*	`conf`	Nonsmooth Implicit Differentiation for Machine-Learning and Optimization. NeurIPS Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls
2021	A*	`conf`	Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. ICML Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
2021	A*	`conf`	Point-set Distances for Learning Representations of 3D Point Clouds. ICCV Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
2021	J	`jnl`	Point-set Distances for Learning Representations of 3D Point Clouds. CoRR Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
2020	J	`jnl`	Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search. CoRR Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne
2020	A	`conf`	Topological Bayesian Optimization with Persistence Diagrams. ECAI Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
2019	C	`conf`	A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications. WOWMOM Tam Le, Matt W. Mutka
2019	—	`conf`	Access control with delegation for smart home applications. IoTDI Tam Le, Matt W. Mutka
2019	J	`jnl`	Computationally Efficient Tree Variants of Gromov-Wasserstein. CoRR Tam Le, Nhat Ho, Makoto Yamada
2019	J	`jnl`	LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport. CoRR Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
2019	J	`jnl`	On Scalable Variant of Wasserstein Barycenter. CoRR Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada
2019	C	`conf`	PPCA: privacy-preserving conditional actions for IoT environments using smart contracts. MobiQuitous Tam Le, Matt W. Mutka
2019	A*	`conf`	Safe Grid Search with Optimal Complexity. ICML Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2019	J	`jnl`	Topological Bayesian Optimization with Persistence Diagrams. CoRR Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
2019	J	`jnl`	Tree-Sliced Approximation of Wasserstein Distances. CoRR Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2019	A*	`conf`	Tree-Sliced Variants of Wasserstein Distances. NeurIPS Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
2018	B	`conf`	CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments. SMARTCOMP Tam Le, Matt W. Mutka
2018	A*	`conf`	Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams. NeurIPS Tam Le, Makoto Yamada
2018	J	`jnl`	Riemannian Manifold Kernel for Persistence Diagrams. CoRR Tam Le, Makoto Yamada
2018	J	`jnl`	Safe Grid Search with Optimal Complexity. CoRR Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2016	C	`conf`	Design and implementation of a home automation system for smart grid applications. ICCE Abdelhakim Ahmim, Tam Le, Esther Ososanya, Sasan Haghani
2015	J	`jnl`	Adaptive Euclidean maps for histograms: generalized Aitchison embeddings. Mach. Learn. Tam Le, Marco Cuturi
2015	A*	`conf`	Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations. ICML Tam Le, Marco Cuturi
2013	C	`conf`	Generalized Aitchison Embeddings for Histograms. ACML Tam Le, Marco Cuturi