no code implementations • 8 May 2022 • Shuhao Yan, Francesca Parise, Eilyan Bitar
We study sample average approximations (SAA) of chance constrained programs.
no code implementations • 25 Sep 2021 • Aditya Bhaskar, Shriya Rangarajan, Vikram Shree, Mark Campbell, Francesca Parise
There, the DeGroot update on the current states is followed by a linear combination with the previous states.
no code implementations • 8 Oct 2020 • Muhammed O. Sayin, Francesca Parise, Asuman Ozdaglar
We present a novel variant of fictitious play dynamics combining classical fictitious play with Q-learning for stochastic games and analyze its convergence properties in two-player zero-sum stochastic games.
no code implementations • 28 Jul 2017 • Marco Avella-Medina, Francesca Parise, Michael T. Schaub, Santiago Segarra
Using the theory of linear integral operators, we define degree, eigenvector, Katz and PageRank centrality functions for graphons and establish concentration inequalities demonstrating that graphon centrality functions arise naturally as limits of their counterparts defined on sequences of graphs of increasing size.