Dimensionality reduction: theoretical perspective on practical measures | Yair Bartal · Nova Fandina · Ofer Neiman |
Learning nonlinear level sets for dimensionality reduction in function approximation | Guannan Zhang · Jiaxin Zhang · Jacob Hinkle |
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms | Max Vladymyrov |
Selecting the independent coordinates of manifolds with large aspect ratios | Yu-Chia Chen · Marina Meila |
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections | Boris Muzellec · Marco Cuturi |
Unsupervised Co-Learning on G-Manifolds Across Irreducible Representations | Yifeng Fan · Tingran Gao · Zhizhen Jane Zhao |