16 papers
Which Question Is Your Attention Metric Answering? Attention Rows as Compositional Data
Marios Papamichalis, Regina Ruane
Each row of a transformer's attention matrix is a probability distribution over tokens, and in trained models most of that probability lands on a single \emph{sink} token, usually…
Bayesian Predictive Synthesis for Dynamic Networks: Forecasting and Identifying Structural Mechanisms
Marios Papamichalis, Regina Ruane, Theofanis Papamichalis
Networks are shaped by competing structural mechanisms, such as communities, geometry, or hubs. In a dynamic network the most predictive mechanism can change, and a model tied to o…
Minimax Synthesis of Network Mechanisms
Marios Papamichalis, Regina Ruane
A single observed network reflects several mechanisms at once: communities, hubs, and clustering coexist in one graph, each a different model. We treat the network as a combination…
Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier
Alan F. Karr, Zac Bowen, Adam A. Porter +1
For a Bayes classifier whose input space is a graph, we study the structure of the boundary, which comprises those points for which at least one neighbor is classified differently.…
How Eviction Court Governs: A Statistical Analysis of Bargaining, Templates, and Debt in Philadelphia
Marios Papamichalis, Regina Ruane
We analyze downstream courtroom governance in Philadelphia eviction cases using 755,004 Municipal Court landlord--tenant records filed from 1969 through 2022. Post-filing case proc…
High-Volume Plaintiff-Side Counsel and Single-Appearance Eviction Cases in Philadelphia
Marios Papamichalis, Regina Ruane
Among 755,004 Philadelphia landlord--tenant records filed during 1969-2022, 396,163 residential cases involve tenants who appear exactly once in the observed docket. In unadjusted…