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 ( 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 