Tam Le

According to our database, Tam Le authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Nonsmooth Nonconvex Stochastic Heavy Ball.

Tam Le

J. Optim. Theory Appl., May, 2024

Tree-Sliced Wasserstein Distance on a System of Lines.

Viet-Hoang Tran, Trang Pham, Tho Tran, Tam Le, Tan M. Nguyen

CoRR, 2024

SAVA: Scalable Learning-Agnostic Data Valuation.

Samuel Kessler, Tam Le, Vu Nguyen

CoRR, 2024

Sliced Wasserstein with Random-Path Projecting Directions.

Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalized Sobolev Transport for Probability Measures on a Graph.

Tam Le, Truyen Nguyen, Kenji Fukumizu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Counterfactual Distribution Estimation in Multivariate Causal Models.

Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le

Proceedings of the Causal Learning and Reasoning, 2024

Optimal Transport for Measures with Noisy Tree Metric.

Tam Le, Truyen Nguyen, Kenji Fukumizu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Subgradient Sampling for Nonsmooth Nonconvex Minimization.

Jérôme Bolte, Tam Le, Edouard Pauwels

SIAM J. Optim., December, 2023

Few-Shot Object Detection via Synthetic Features with Optimal Transport.

Anh-Khoa Nguyen Vu, Thanh-Toan Do, Vinh-Tiep Nguyen, Tam Le, Minh-Triet Tran, Tam V. Nguyen

CoRR, 2023

Dynamic Flows on Curved Space Generated by Labeled Data.

Xinru Hua, Truyen Nguyen, Tam Le, Jose H. Blanchet, Viet Anh Nguyen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Scalable Unbalanced Sobolev Transport for Measures on a Graph.

Tam Le, Truyen Nguyen, Kenji Fukumizu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics.

Tam Le, Truyen Nguyen, Dinh Phung, Viet Anh Nguyen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Adversarial Regression with Doubly Non-negative Weighting Matrices.

Tam Le, Truyen Nguyen, Makoto Yamada, Jose H. Blanchet, Viet Anh Nguyen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nonsmooth Implicit Differentiation for Machine-Learning and Optimization.

Jérôme Bolte, Tam Le, Edouard Pauwels, Antonio Silveti-Falls

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search.

Vu Nguyen, Tam Le, Makoto Yamada, Michael A. Osborne

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Entropy Partial Transport with Tree Metrics: Theory and Practice.

Tam Le, Truyen Nguyen

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Flow-based Alignment Approaches for Probability Measures in Different Spaces.

Tam Le, Nhat Ho, Makoto Yamada

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Topological Bayesian Optimization with Persistence Diagrams.

Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

On Scalable Variant of Wasserstein Barycenter.

Tam Le, Viet Huynh, Nhat Ho, Dinh Q. Phung, Makoto Yamada

CoRR, 2019

Computationally Efficient Tree Variants of Gromov-Wasserstein.

Tam Le, Nhat Ho, Makoto Yamada

CoRR, 2019

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport.

Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang

CoRR, 2019

Tree-Sliced Approximation of Wasserstein Distances.

Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi

CoRR, 2019

A Lightweight Block Validation Method for Resource-Constrained IoT Devices in Blockchain-Based Applications.

Tam Le, Matt W. Mutka

Proceedings of the 20th IEEE International Symposium on "A World of Wireless, 2019

Tree-Sliced Variants of Wasserstein Distances.

Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

PPCA: privacy-preserving conditional actions for IoT environments using smart contracts.

Tam Le, Matt W. Mutka

Proceedings of the MobiQuitous 2019, 2019

Access control with delegation for smart home applications.

Tam Le, Matt W. Mutka

Proceedings of the International Conference on Internet of Things Design and Implementation, 2019

Safe Grid Search with Optimal Complexity.

Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Riemannian Manifold Kernel for Persistence Diagrams.

Tam Le, Makoto Yamada

CoRR, 2018

CapChain: A Privacy Preserving Access Control Framework Based on Blockchain for Pervasive Environments.

Tam Le, Matt W. Mutka

Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams.

Tam Le, Makoto Yamada

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Design and implementation of a home automation system for smart grid applications.

Abdelhakim Ahmim, Tam Le, Esther Ososanya, Sasan Haghani

Proceedings of the IEEE International Conference on Consumer Electronics, 2016

2015

Adaptive Euclidean maps for histograms: generalized Aitchison embeddings.

Tam Le, Marco Cuturi

Mach. Learn., 2015

Unsupervised Riemannian Metric Learning for Histograms Using Aitchison Transformations.

Tam Le, Marco Cuturi

Proceedings of the 32nd International Conference on Machine Learning, 2015

2013

Generalized Aitchison Embeddings for Histograms.

Tam Le, Marco Cuturi

Proceedings of the Asian Conference on Machine Learning, 2013