Uncovering Sociological Effect Heterogeneity using Machine Learning. - Jennie E. Brand; Jiahui Xu; Bernard Koch; Pablo Geraldo (CoRR, 2019)

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. - Bernard Koch; Emily Denton; Alex Hanna; Jacob G. Foster (NeurIPS Datasets and Benchmarks, 2021)

HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. - Song Jiang 002; Bernard Koch; Yizhou Sun (WWW, 2021)

Deep Learning of Potential Outcomes. - Bernard Koch; Tim Sainburg; Pablo Geraldo; Song Jiang 002; Yizhou Sun; Jacob Gates Foster (CoRR, 2021)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)

LLM Social Simulations Are a Promising Research Method. - Jacy Reese Anthis; Ryan Liu 001; Sean M. Richardson; Austin C. Kozlowski; Bernard Koch; James A. Evans; Erik Brynjolfsson; Michael S. Bernstein (CoRR, 2025)