| 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 | 43* | 2021 |
| Inverse decision modeling: Learning interpretable representations of behavior D Jarrett, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML), 2021 | 34 | 2021 |
| Query-dependent prompt evaluation and optimization with offline inverse RL H Sun, A Hüyük, M van der Schaar International Conference on Learning Representations (ICLR), 2024 | 31 | 2024 |
| 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 | 30 | 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 | 28 | 2019 |
| 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 | 19 | 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 | 18 | 2022 |
| Thompson sampling for combinatorial network optimization in unknown environments A Hüyük, C Tekin IEEE/ACM Transactions on Networking 28 (6), 2836-2849, 2020 | 17 | 2020 |
| Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives A Hüyük, C Tekin Machine Learning 110 (6), 1233-1266, 2021 | 15 | 2021 |
| Accountability in offline reinforcement learning: Explaining decisions with a corpus of examples H Sun, A Hüyük, D Jarrett, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2023 | 12* | 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 | 12 | 2023 |
| Active observing continuous-time control S Holt, A Hüyük, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2023 | 8 | 2023 |
| Inferring lexicographically-ordered rewards from preferences A Hüyük, WR Zame, M van der Schaar AAAI Conference on Artificial Intelligence, 2022 | 7 | 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 | 6 | 2021 |
| Adaptive identification of populations with treatment benefit in clinical trials: Machine learning challenges and solutions A Curth, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML), 2023 | 5* | 2023 |
| Online decision mediation D Jarrett, A Hüyük, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2022 | 5 | 2022 |
| When is off-policy evaluation (reward modeling) useful in contextual bandits? A data-centric perspective H Sun, AJ Chan, N Seedat, A Hüyük, M van der Schaar Journal of Data-centric Machine Learning Research (DMLR) 1 (22), 1−36, 2024 | 4* | 2024 |
| Optimising human-AI collaboration by learning convincing explanations A Chan, A Hüyük, M van der Schaar NeurIPS Workshop on XAI in Action: Past, Present, and Future Applications, 2023 | 3 | 2023 |
| When to make and break commitments? A Hüyük, Z Qian, M van der Schaar International Conference on Learning Representations (ICLR), 2023 | 3 | 2023 |
| Adaptive experiment design with synthetic controls A Hüyük, Z Qian, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 2 | 2024 |
Mihaela van der SchaarUniversity of Cambridge, The Alan Turing Instituteכתובת אימייל מאומתת בדומיין ee.ucla.edu