| Debiasing classifiers: is reality at variance with expectation? A Agrawal, F Pfisterer, B Bischl, F Buet-Golfouse, S Sood, J Chen, S Shah, ... arXiv preprint arXiv:2011.02407, 2020 | 17 | 2020 |
| Towards fair unsupervised learning F Buet-Golfouse, I Utyagulov Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 13 | 2022 |
| A multinomial theorem for Hermite polynomials and financial applications F Buet-Golfouse Applied Mathematics 6 (6), 1017-1030, 2015 | 12 | 2015 |
| Towards fair multi-stakeholder recommender systems F Buet-Golfouse, I Utyagulov Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022 | 4 | 2022 |
| Kernel factorisation machines F Buet-Golfouse, I Utyagulov 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
| Narrow Margins: Classification, Margins and Fat Tails F Buet-Golfouse International Conference on Machine Learning, 1127-1135, 2021 | 2 | 2021 |
| The application of Hermite polynomials to risk allocation F Buet-Golfouse, AD Owen Journal of Risk 18 (3), 2016 | 2 | 2016 |
| Hermite approximations in credit portfolio modeling with probability of default-loss given default correlation A Owen, J Bryers, F Buet-Golfouse Journal of Credit Risk 11 (3), 2015 | 2 | 2015 |
| Lifting Volterra Diffusions via Kernel Decomposition F Buet-Golfouse, NWD Martin Proceedings of the Fourth ACM International Conference on AI in Finance, 481-489, 2023 | 1 | 2023 |
| Turbo-Charging Deep Learning Methods for Partial Differential Equations F Buet-Golfouse, I Utyagulov, P Pahwa, P Hill Proceedings of the Fourth ACM International Conference on AI in Finance, 150-158, 2023 | 1 | 2023 |
| Optimal execution via multi-objective multi-armed bandits F Buet-Golfouse, P Hill Proceedings of the AAAI Conference on Artificial Intelligence 37 (13), 16170 …, 2023 | 1 | 2023 |
| Robust Multi-Objective Reinforcement Learning with Dynamic Preferences F Buet-Golfouse, P Pahwa Asian Conference on Machine Learning, 96-111, 2023 | 1 | 2023 |
| Fairness Trade-Offs and Partial Debiasing F Buet-Golfouse, I Utyagulov Asian Conference on Machine Learning, 112-136, 2023 | 1 | 2023 |
| Numerical Approximations of Log Gaussian Cox Process F Buet-Golfouse, H Roggeman Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12923 …, 2022 | 1 | 2022 |
| Rayleigh Portfolios and Penalised Matrix Decomposition F Buet-Golfouse, H Roggeman, I Utyagulov Companion Proceedings of the Web Conference 2022, 579-582, 2022 | 1 | 2022 |
| New Mathematical and Computational Methods for Machine Learning and Multi-Objective Reinforcement Learning F Buet-Golfouse UCL (University College London), 2024 | | 2024 |
| Sustainable Resource Management NWD Martin, P Hill, TS Tan, F Buet-Golfouse Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023, 2023 | | 2023 |
| Decomposing Causality and Fairness P Hill, F Buet-Golfouse Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023, 2023 | | 2023 |
| Dynamic Human AI Collaboration P Pahwa, K Thakur, F Buet-Golfouse Tiny Papers @ ICLR 2023, Kigali, Rwanda, May 5, 2023, 2023 | | 2023 |
| Multi-Learning Generalised Low-Rank Models F Buet-Golfouse, P Pahwa 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | | 2022 |
