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Disambiguation of "Ho, Nhat"

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Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data.

, , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 6873-6947. PMLR, (2023)

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Nhat Vo

Nhat-Linh Tran

Thong Nhat Tran

Doan Nhat Quang

Nguyen Trung Nhat

 

Other publications of authors with the same name

Markovian Sliced Wasserstein Distances: Beyond Independent Projections., , and . CoRR, (2023)Structured Dropout Variational Inference for Bayesian Neural Networks., , , , , and . NeurIPS, page 15188-15202. (2021)Stochastic Multiple Target Sampling Gradient Descent., , , , , and . NeurIPS, (2022)Global-Local Regularization Via Distributional Robustness., , , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7644-7664. PMLR, (2023)On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 1405-1413. PMLR, (2021)Flow-based Alignment Approaches for Probability Measures in Different Spaces., , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3934-3942. PMLR, (2021)On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 896-921. PMLR, (2022)Fast Approximation of the Generalized Sliced-Wasserstein Distance., , , , and . ICASSP, page 6920-6924. IEEE, (2024)On Robust Optimal Transport: Computational Complexity and Barycenter Computation., , , , , and . NeurIPS, page 21947-21959. (2021)Distributional Sliced-Wasserstein and Applications to Generative Modeling., , , and . ICLR, OpenReview.net, (2021)