2 papers
stat.ML2026
Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
Hengrui Luo, Anna Ma, Ludovic Stephan +1
We introduce Wedge Sampling, a new non-adaptive sampling scheme for low-rank tensor completion. We study recovery of an order- low-rank tensor of dimension $n\times\cdots\times…
cs.LG2025
Bispectral OT: Dataset Comparison using Symmetry-Aware Optimal Transport
Annabel Ma, Kaiying Hou, David Alvarez-Melis +1
Optimal transport (OT) is a widely used technique in machine learning, graphics, and vision that aligns two distributions or datasets using their relative geometry. In symmetry-ric…