arXiv AI

Exponential random graph models with soft clique constraints

arXiv Statistics ML
Aug 28

Explicit Bounds on the Entropy of Piecewise H\"{o}lder Graphon Models

The paper investigates the entropy of random graphs produced by piecewise Hölder continuous graphons. It establishes a convergence rate for the normalized entropy as graph size increases and outlines the main proof ideas, with full details in the appendix. Using this result, the authors derive explicit quantitative entropy bounds for both the stochastic block model and the random geometric graph model, moving beyond previous asymptotic statements.

By Connor Loehde-Woolard, Fran\c{c}ois G. Meyer
arXiv Machine Learning
Jun 18

Robust Detection of Planted Subgraphs in Semi-Random Models

arXiv:2508. 02158v2 Announce Type: replace-cross Abstract: Detection of planted subgraphs in Erd\"os-R\'enyi random graphs has been extensively studied, leading to a rich body of results characterizing both statistical and computational thresholds.

By Dor Elimelech, Wasim Huleihel
arXiv AI
Jun 24

Random coloured digraphs defined by a Markov logic network

arXiv:2606. 23715v1 Announce Type: cross Abstract: A Markov Logic Network (MLN) is a probabilistic relational model used in Statistical Relational Artificial Intelligence for defining a probability distribution on the set of possible worlds with domain $D$ for an arbitrary finite domain $D$.

By Yasmin Tousinejad, Vera Koponen
arXiv Machine Learning
Jul 3

Provably Finding a Hidden Dense Submatrix among Many Planted Dense Submatrices via Convex Programming

arXiv:2601. 03946v3 Announce Type: replace-cross Abstract: We consider the densest submatrix problem, which seeks the submatrix of fixed size of a given binary matrix that contains the most nonzero entries.

By Valentine Olanubi (University of Alabama, Department of Mathematics), Phineas Agar (University of Alabama, Department of Mathematics), Brendan Ames (University of Southampton, School of Mathematical Sciences)
arXiv Statistics ML
Sep 10

A positive resolution of the gap-entropy conjecture

arXiv:2609.10529v1 Announce Type: cross Abstract: We prove the gap-entropy conjecture for fixed-confidence best-arm identification with independent unit-variance Gaussian arms, means in $[0,1]$, and...

By P. M. Aronow, Nathan Kallus, Patrick Lopatto