Adversarial blocking bandits N Bishop, H Chan, D Mandal, L Tran-Thanh Advances in Neural Information Processing Systems 33, 8139-8149, 2020 | 15 | 2020 |
Optimal learning from verified training data N Bishop, L Tran-Thanh, E Gerding Advances in Neural Information Processing Systems 33, 9520-9529, 2020 | 12 | 2020 |
Explicit Explore, Exploit, or Escape (): near-optimal safety-constrained reinforcement learning in polynomial time DM Bossens, N Bishop Machine Learning 112 (3), 817-858, 2023 | 3 | 2023 |
Sequential blocked matching N Bishop, H Chan, D Mandal, L Tran-Thanh Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 4834-4842, 2022 | 3 | 2022 |
How to guide a non-cooperative learner to cooperate: Exploiting no-regret algorithms in system design N Bishop, LC Dinh, L Tran-Thanh 20th International Conference on Autonomous Agents and Multiagent Systems …, 2021 | 3 | 2021 |
Accounting for real world phenomena in machine learning and mechanism design N Bishop University of Southampton, 2023 | 1 | 2023 |
Hypothesis classes with a unique persistence diagram are NOT nonuniformly learnable NG Bishop, T Davies, L Tran-Thanh TDA {\&} Beyond, 2020 | 1 | 2020 |
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost S Mahesh, N Bishop, LC Dinh, L Tran-Thanh International Conference on Decision and Game Theory for Security, 257-276, 2023 | | 2023 |
Manipulation of Machine Learning Algoirhtms N Bishop Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | | 2022 |
Playing Coopetitive Polymatrix Games with Small Manipulation Cost S Mahesh, N Bishop, LC Dinh, L Tran-Thanh arXiv preprint arXiv:2110.13532, 2021 | | 2021 |
Topological Vanilla Transfer Learning NG Bishop, LT Nguyen, HT Thai, T Davies, L Tran-Thanh | | 2021 |