56 citations · 144 across the 9 of their papers we have counts for
9 papers
A principled approach to model validation in domain generalization
Boyang Lyu, Thuan Nguyen, Matthias Scheutz +2
Domain generalization aims to learn a model with good generalization ability, that is, the learned model should not only perform well on several seen domains but also on unseen dom…
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection
Matthew Werenski, Shoaib Bin Masud, James M. Murphy +1
This paper considers the use of recently proposed optimal transport-based multivariate test statistics, namely rank energy and its variant the soft rank energy derived from entropi…
Joint covariate-alignment and concept-alignment: a framework for domain generalization
Thuan Nguyen, Boyang Lyu, Prakash Ishwar +2
In this paper, we propose a novel domain generalization (DG) framework based on a new upper bound to the risk on the unseen domain. Particularly, our framework proposes to jointly…
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space
Ruijie Jiang, Julia Gouvea, David Hammer +2
Qualitative analysis of verbal data is of central importance in the learning sciences. It is labor-intensive and time-consuming, however, which limits the amount of data researcher…
Low-tubal-rank Tensor Completion using Alternating Minimization
Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal +1
The low-tubal-rank tensor model has been recently proposed for real-world multidimensional data. In this paper, we study the low-tubal-rank tensor completion problem, i.e., to reco…
A Randomized Tensor Singular Value Decomposition based on the t-product
Jiani Zhang, Arvind K. Saibaba, Misha Kilmer +1
The tensor Singular Value Decomposition (t-SVD) for third order tensors that was proposed by Kilmer and Martin~\cite{2011kilmer} has been applied successfully in many fields, such…