| Learning "what-if" explanations for sequential decision-making I Bica, D Jarrett, A Hüyük, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 19 | 2021 |
| Analysis of Thompson sampling for combinatorial multi-armed bandit with probabilistically triggered arms A Hüyük, C Tekin International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 | 17 | 2019 |
| Explaining by imitating: Understanding decisions by interpretable policy learning A Hüyük, D Jarrett, C Tekin, M van der Schaar International Conference on Learning Representations (ICLR), 2021 | 12 | 2021 |
| Inverse decision modeling: Learning interpretable representations of behavior D Jarrett, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML), 2021 | 10 | 2021 |
| Thompson sampling for combinatorial network optimization in unknown environments A Hüyük, C Tekin IEEE/ACM Transactions on Networking 28 (6), 2836-2849, 2020 | 8 | 2020 |
| The Medkit-Learn(ing) environment: Medical decision modelling through simulation JA Chan, I Bica, A Hüyük, D Jarrett, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), Track on …, 2021 | 6 | 2021 |
| Inverse contextual bandits: Learning how behavior evolves over time A Hüyük, D Jarrett, M van der Schaar International Conference on Machine Learning (ICML), 2022 | 3 | 2022 |
| Adaptively identifying good patient populations in clinical trials A Curth, A Hüyük, M van der Schaar ICML Workshop on Adaptive Experimental Design and Active Learning in the …, 2022 | 1 | 2022 |
| Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation Y Qin, F Imrie, A Hüyük, D Jarrett, AE Gimson, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2021 | 1 | 2021 |
| Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives A Hüyük, C Tekin Machine Learning 110 (6), 1233-1266, 2021 | 1 | 2021 |
| When to make and break commitments? A Hüyük, Z Qian, M van der Schaar International Conference on Learning Representations (ICLR), 2023 | | 2023 |
| Neural Laplace control for continuous-time delayed systems S Holt, A Hüyük, Z Qian, H Sun, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | | 2023 |
| Online decision mediation D Jarrett, A Hüyük, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2022 | | 2022 |
| Adaptively identifying patient populations with treatment benefit in clinical trials A Curth, A Hüyük, M van der Schaar arXiv preprint arXiv:2208.05844, 2022 | | 2022 |
| MARS: Assisting human with information processing tasks using machine learning C Shen, Z Qian, A Hüyük, M van der Schaar ACM Transactions on Computing for Healthcare 3 (2), 1-19, 2022 | | 2022 |
| Inferring lexicographically-ordered rewards from preferences A Hüyük, WR Zame, M van der Schaar AAAI Conference on Artificial Intelligence, 2022 | | 2022 |
| Identifying good arms fast and with confidence: Strategies and empirical insights A Curth, A Hüyük, M van der Schaar ICML Workshop on Adaptive Experimental Design and Active Learning in the …, 2022 | | 2022 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing InstituteVerified email at ee.ucla.edu
