Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. A Agarwal, YS Tan, O Ronen, C Singh, B Yu International Conference on Machine Learning, 111-135, 2022 | 29 | 2022 |
Fast interpretable greedy-tree sums (FIGS) Y Shuo Tan, C Singh, K Nasseri, A Agarwal, J Duncan, O Ronen, ... arXiv preprint arXiv:2201.11931, 2022 | 25 | 2022 |
Learning epistatic polygenic phenotypes with Boolean interactions M Behr, K Kumbier, A Cordova-Palomera, M Aguirre, O Ronen, C Ye, ... Plos one 19 (4), e0298906, 2024 | 7 | 2024 |
Bin Yu. Hierarchical shrinkage: Improving the accuracy and interpretability of tree-based models A Agarwal, YS Tan, O Ronen, C Singh International Conference on Machine Learning, 111-135, 2022 | 5 | 2022 |
A mixing time lower bound for a simplified version of bart O Ronen, T Saarinen, YS Tan, J Duncan, B Yu arXiv preprint arXiv:2210.09352, 2022 | 3 | 2022 |
Epistasis regulates genetic control of cardiac hypertrophy Q Wang, TM Tang, N Youlton, CS Weldy, AM Kenney, O Ronen, ... Research Square, 2023 | 1 | 2023 |
Deep Homology-Based Protein Contact-Map Prediction O Ronen, O Zuk bioRxiv, 2020.10. 04.325274, 2020 | | 2020 |