When Do Neural Nets Outperform Boosted Trees on Tabular Data?

1 code implementation • NeurIPS 2023 • Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C, Benjamin Feuer, Chinmay Hegde, Ganesh Ramakrishnan, Micah Goldblum, Colin White

To this end, we conduct the largest tabular data analysis to date, comparing 19 algorithms across 176 datasets, and we find that the 'NN vs. GBDT' debate is overemphasized: for a surprisingly high number of datasets, either the performance difference between GBDTs and NNs is negligible, or light hyperparameter tuning on a GBDT is more important than choosing between NNs and GBDTs.

On the Generalizability and Predictability of Recommender Systems

1 code implementation • 23 Jun 2022 • Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, John P. Dickerson, Colin White

By using far more meta-training data than prior work, RecZilla is able to substantially reduce the level of human involvement when faced with a new recommender system application.

Meta-Learning Recommendation Systems