A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification. - William Herlands; Ricky Der; Yoel Greenberg; Simon A. Levin (AAAI, 2014)

Effective Entropy: Security-Centric Metric for Memory Randomization Techniques. - William Herlands; Thomas Hobson; Paula J. Donovan (CSET, 2014)

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. - William Herlands; Andrew Gordon Wilson; Hannes Nickisch; Seth R. Flaxman; Daniel B. Neill; Wilbert Van Panhuis; Eric P. Xing (AISTATS, 2016)

Machine Learning for Drug Overdose Surveillance. - Daniel B. Neill; William Herlands (CoRR, 2017)

Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. - William Herlands; Edward McFowland; Andrew Gordon Wilson; Daniel B. Neill (AISTATS, 2018)

Automated Local Regression Discontinuity Design Discovery. - William Herlands; Edward McFowland III; Andrew Gordon Wilson; Daniel B. Neill (KDD, 2018)

Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact. - Maria De-Arteaga; Amanda Coston; William Herlands (CoRR, 2018)

Machine Learning for the Developing World. - Maria De-Arteaga; William Herlands; Daniel B. Neill; Artur Dubrawski (ACM Trans. Manag. Inf. Syst., 2018)

Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. - William Herlands; Daniel B. Neill; Hannes Nickisch; Andrew Gordon Wilson (J. Mach. Learn. Res., 2019)