| When do neural nets outperform boosted trees on tabular data? D McElfresh, S Khandagale, J Valverde, V Prasad C, G Ramakrishnan, ... Advances in Neural Information Processing Systems 36, 76336-76369, 2023 | 179 | 2023 |
| A toolset for creation of multi-fidelity probabilistic aerodynamic databases N Nigam, S Mohseni, J Valverde, S Voronin, J Mukhopadhaya, JJ Alonso AIAA Scitech 2021 Forum, 0466, 2021 | 15 | 2021 |
| On the generalizability and predictability of recommender systems D McElfresh, S Khandagale, J Valverde, J Dickerson, C White Advances in Neural Information Processing Systems 35, 4416-4432, 2022 | 10 | 2022 |
| Vishak Prasad C, Ganesh Ramakrishnan, Micah Goldblum, and Colin White. 2024. When do neural nets outperform boosted trees on tabular data D McElfresh, S Khandagale, J Valverde Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Integrated Intelligent Control of Hybrid-Electric Unmanned Air Vehicles J Valverde, N Nigam, A Tyagi, J Lieh, M Nicholson, A Behbahani AIAA, 2019 | 3* | 2019 |
| Efficient data representation learning in google-scale systems DZ Cheng, R Wang, WC Kang, B Coleman, Y Zhang, J Ni, J Valverde, ... Proceedings of the 17th ACM Conference on Recommender Systems, 267-271, 2023 | 1 | 2023 |
| Self-Auxiliary Distillation for Sample Efficient Learning in Google-Scale Recommenders Y Zhang, R Wang, X Li, T Yao, A Evdokimov, J Valverde, Y Gao, J Zhang, ... Proceedings of the 18th ACM Conference on Recommender Systems, 829-831, 2024 | | 2024 |
| On the Generalizability and Predictability of Recommender Systems JP Dickerson, S Khandagale, DC McElfresh, J Valverde, C White First Conference on Automated Machine Learning (Late-Breaking Workshop), 0 | | |
Duncan C McElfreshStanford University, US Department of Veterans AffairsE-mailová adresa ověřena na: stanford.edu
