activity
20112025
most citedA Relative Entropy Rate Method for Path Space Sensitivity Analysis of Stationary Complex Stochastic Dynamics

40 citations · 115 across the 23 of their papers we have counts for

collaborators

27 papers

stat.ME2025

The --regression for compositional data: a unified framework for standard, temporal and spatial regression models including compositional predictors

Michail Tsagris, Nader Alharbi, Abdulaziz Alenazi +1

We revisit the --regression framework for compositional data. We formulate --regression as a non--linear least squares problem, study its asymptotic properties, and provide e…

astro-ph.CO2024★ 4 cited

Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks

Joshua Fagin, Georgios Vernardos, Grigorios Tsagkatakis +3

Strong gravitational lensing can be used as a tool for constraining the substructure in the mass distribution of galaxies. In this study we investigate the power spectrum of dark m…

stat.ME2022

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…

stat.ML2022

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…

stat.ML2022★ 1 cited

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…

cs.GT2021

Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games

Michail Fasoulakis, Evangelos Markakis, Yannis Pantazis +1

Our work focuses on extra gradient learning algorithms for finding Nash equilibria in bilinear zero-sum games. The proposed method, which can be formally considered as a variant of…