Daryl DeFord

According to our database, Daryl DeFord authored at least 26 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Free elections in the free state: ensemble analysis of redistricting in New Hampshire.

Atticus McWhorter, Daryl DeFord

J. Comput. Soc. Sci., May, 2026

Labeled graph rearrangements on matched and star products.

Amir Barghi, Daryl DeFord

Electron. J. Graph Theory Appl., 2026

2025

The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions.

Atticus McWhorter, Daryl DeFord

CoRR, October, 2025

A Cycle Walk for Sampling Measures on Spanning Forests for Redistricting.

Daryl R. DeFord, Gregory Herschlag, Jonathan C. Mattingly

CoRR, September, 2025

Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics.

Jarren Briscoe, Garrett Kepler, Daryl DeFord, Assefaw H. Gebremedhin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Ranking trees based on global centrality measures.

Amir Barghi, Daryl R. DeFord

Discret. Appl. Math., January, 2024

Repetition effects in a Sequential Monte Carlo sampler.

Sarah Cannon, Daryl R. DeFord, Moon Duchin

CoRR, 2024

2023

Multi-balanced redistricting.

Daryl R. DeFord, Elliot Kimsey, Ryan Zerr

J. Comput. Soc. Sci., October, 2023

Stirling Numbers of Uniform Trees and Related Computational Experiments.

Amir Barghi, Daryl R. DeFord

Algorithms, 2023

2022

Colorado in context: Congressional redistricting and competing fairness criteria in Colorado.

Jeanne N. Clelland, Haley Colgate, Daryl R. DeFord, Beth Malmskog, Flavia Sancier-Barbosa

J. Comput. Soc. Sci., May, 2022

Maximum A Posteriori Inference of Random Dot Product Graphs via Conic Programming.

David Wu, David R. Palmer, Daryl R. DeFord

SIAM J. Optim., 2022

2021

Bayesian Inference of Random Dot Product Graphs via Conic Programming.

David Wu, David R. Palmer, Daryl R. DeFord

CoRR, 2021

2020

Mathematics of Nested Districts: The Case of Alaska.

Sophia Caldera, Daryl R. DeFord, Moon Duchin, Samuel C. Gutekunst, Cara Nix

CoRR, 2020

A Computational Approach to Measuring Vote Elasticity and Competitiveness.

Daryl R. DeFord, Moon Duchin, Justin Solomon

CoRR, 2020

Medial Axis Isoperimetric Profiles.

Paul Zhang, Daryl R. DeFord, Justin Solomon

Comput. Graph. Forum, 2020

2019

Total Variation Isoperimetric Profiles.

Daryl R. DeFord, Hugo Lavenant, Zachary Schutzman, Justin Solomon

SIAM J. Appl. Algebra Geom., 2019

Recombination: A family of Markov chains for redistricting.

Daryl R. DeFord, Moon Duchin, Justin Solomon

CoRR, 2019

Complexity and Geometry of Sampling Connected Graph Partitions.

Lorenzo Najt, Daryl R. DeFord, Justin Solomon

CoRR, 2019

On the Spectrum of Finite Rooted Homogeneous Trees.

Daryl R. DeFord, Daniel N. Rockmore

CoRR, 2019

2018

A new framework for dynamical models on multiplex networks.

Daryl R. DeFord, Scott D. Pauls

J. Complex Networks, 2018

2017

Random Walk Null Models for Time Series Data.

Daryl R. DeFord, Katherine Moore

Entropy, 2017

Spectral Clustering Methods for Multiplex Networks.

Daryl R. DeFord, Scott D. Pauls

CoRR, 2017

Multiplex Dynamics on the World Trade Web.

Daryl R. DeFord

Proceedings of the Complex Networks & Their Applications VI, 2017

2016

A Random Dot Product Model for Weighted Networks.

Daryl R. DeFord, Daniel N. Rockmore

CoRR, 2016

2015

Network models that reflect multiplex dynamics.

Daryl R. DeFord, Scott D. Pauls

CoRR, 2015

2013

Empirical Analysis of Space-Filling Curves for Scientific Computing Applications.

Daryl R. DeFord, Ananth Kalyanaraman

Proceedings of the 42nd International Conference on Parallel Processing, 2013