| Deep models of interactions across sets J Hartford, D Graham, K Leyton-Brown, S Ravanbakhsh International Conference on Machine Learning, 1909-1918, 2018 | 164 | 2018 |
| Procrastinating with confidence: Near-optimal, anytime, adaptive algorithm configuration R Kleinberg, K Leyton-Brown, B Lucier, D Graham Advances in Neural Information Processing Systems 32, 2019 | 27 | 2019 |
| Equivariant Entity-Relationship Networks D Graham, S Ravanbakhsh arXiv preprint arXiv:1903.09033, 2019 | 15* | 2019 |
| ImpatientCapsAndRuns: Approximately optimal algorithm configuration from an infinite pool G Weisz, A György, WI Lin, D Graham, K Leyton-Brown, C Szepesvari, ... Advances in Neural Information Processing Systems 33, 17478-17488, 2020 | 5 | 2020 |
| Formalizing preferences over runtime distributions DR Graham, K Leyton-Brown, T Roughgarden International Conference on Machine Learning, 11659-11682, 2023 | 3 | 2023 |
| Utilitarian Algorithm Configuration D Graham, K Leyton-Brown, T Roughgarden Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| Deep learning with exchangeable tensors DR Graham University of British Columbia, 2018 | | 2018 |
Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI Chaircs.ubc.ca의 이메일 확인됨
