40 citations · 115 across the 23 of their papers we have counts for
3 papers · 1 filter
Cauchy robust principal component analysis with applications to high-deimensional data sets
Ayisha Fayomi, Yannis Pantazis, Michail Tsagris +1
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA ca…
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
Hyemin Gu, Panagiota Birmpa, Yannis Pantazis +2
We build a new class of generative algorithms capable of efficiently learning an arbitrary target distribution from possibly scarce, high-dimensional data and subsequently generate…
Function-space regularized Rényi divergences
Jeremiah Birrell, Yannis Pantazis, Paul Dupuis +2
We propose a new family of regularized Rényi divergences parametrized not only by the order but also by a variational function space. These new objects are defined by taking th…