On the Generalizability and Predictability of Recommender Systems. - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; John Dickerson 001; Colin White (NeurIPS, 2022)

When Do Neural Nets Outperform Boosted Trees on Tabular Data? - Duncan C. McElfresh; Sujay Khandagale; Jonathan Valverde; Vishak Prasad C.; Ganesh Ramakrishnan; Micah Goldblum; Colin White (NeurIPS, 2023)

Efficient Data Representation Learning in Google-scale Systems. - Derek Zhiyuan Cheng; Ruoxi Wang; Wang-Cheng Kang; Benjamin Coleman; Yin Zhang 011; Jianmo Ni; Jonathan Valverde; Lichan Hong; Ed H. Chi (RecSys, 2023)

Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders. - Yin Zhang 011; Ruoxi Wang; Xiang Li; Tiansheng Yao; Andrew Evdokimov; Jonathan Valverde; Yuan Gao; Jerry Zhang; Evan Ettinger; Ed H. Chi; Derek Zhiyuan Cheng (RecSys, 2024)