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cs.LG2026
Loss-Parameterized Fisher Width Along Learning Trajectories
Vu Khac Ky
Fisher width measures the Gaussian width of a probe set after deformation by the local Fisher geometry. We study its evolution along learning trajectories and ask when training los…
cs.LG2026
Fisher Widths: Local Learning Geometry and Anisotropic Recovery
Vu Khac Ky
We study Gaussian-width complexity on statistical manifolds through a pair of functionals: the primal Fisher width , induced by the Fisher metric, and the inv…
cs.LG2026
Fisher Width: A Geometric Measure of Complexity on Statistical Manifolds
Vu Khac Ky
Gaussian width is a central geometric complexity measure in high-dimensional probability, compressed sensing, convex optimization, and learning theory. It quantifies the average ex…