3 papers
stat.ME2022
Comparison and Bayesian Estimation of Feature Allocations
David B. Dahl, Devin J. Johnson, R. Jacob Andros
Feature allocation models postulate a sampling distribution whose parameters are derived from shared features. Bayesian models place a prior distribution on the feature allocation,…
stat.ME2021
Search Algorithms and Loss Functions for Bayesian Clustering
David B. Dahl, Devin J. Johnson, Peter Mueller
We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. Given the large size and…
cs.CL2020
Probing for Multilingual Numerical Understanding in Transformer-Based Language Models
Devin Johnson, Denise Mak, Drew Barker +1
Natural language numbers are an example of compositional structures, where larger numbers are composed of operations on smaller numbers. Given that compositional reasoning is a key…