24 citations · 56 across the 13 of their papers we have counts for
13 papers
Beyond the Frontier: Stochastic Backtracking for Efficient Test-Time Scaling
Dao Tran, Duc Anh Le, Ngoc Luu +3
Test-time scaling improves language model reasoning by spending additional compute to explore multiple solution trajectories. The key challenge is to maximize accuracy while minimi…
On Barycenter Computation: Semi-Unbalanced Optimal Transport-based Method on Gaussians
Ngoc-Hai Nguyen, Dung Le, Hoang-Phi Nguyen +2
We explore a robust version of the barycenter problem among centered Gaussian probability measures, termed Semi-Unbalanced Optimal Transport (SUOT)-based Barycenter, wherein th…
Sharpness & Shift-Aware Self-Supervised Learning
Ngoc N. Tran, Son Duong, Hoang Phan +3
Self-supervised learning aims to extract meaningful features from unlabeled data for further downstream tasks. In this paper, we consider classification as a downstream task in pha…
Entropic Gromov-Wasserstein between Gaussian Distributions
Khang Le, Dung Le, Huy Nguyen +3
We study the entropic Gromov-Wasserstein and its unbalanced version between (unbalanced) Gaussian distributions with different dimensions. When the metric is the inner product, whi…
Improving Mini-batch Optimal Transport via Partial Transportation
Khai Nguyen, Dang Nguyen, The-Anh Vu-Le +2
Mini-batch optimal transport (m-OT) has been widely used recently to deal with the memory issue of OT in large-scale applications. Despite their practicality, m-OT suffers from mis…
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
Khang Le, Huy Nguyen, Tung Pham +1
We study the multi-marginal partial optimal transport (POT) problem between discrete (unbalanced) measures with at most supports. We first prove that we can obtain two equi…