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 | 35 | 2021 |
Inverse decision modeling: Learning interpretable representations of behavior D Jarrett, A Hüyük, M van der Schaar International Conference on Machine Learning (ICML), 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 | 27 | 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 | 25 | 2021 |
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 | 16 | 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 | 15 | 2022 |
Thompson sampling for combinatorial network optimization in unknown environments A Hüyük, C Tekin IEEE/ACM Transactions on Networking 28 (6), 2836-2849, 2020 | 12 | 2020 |
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 | 9* | 2023 |
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 | 8 | 2024 |
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 | 8 | 2023 |
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives A Hüyük, C Tekin Machine Learning 110 (6), 1233-1266, 2021 | 7 | 2021 |
Inferring lexicographically-ordered rewards from preferences A Hüyük, WR Zame, M van der Schaar AAAI Conference on Artificial Intelligence, 2022 | 6 | 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 |
Active observing continuous-time control S Holt, A Hüyük, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2023 | 5 | 2023 |
Online decision mediation D Jarrett, A Hüyük, M van der Schaar Conference on Neural Information Processing Systems (NeurIPS), 2022 | 5 | 2022 |
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 | 4* | 2023 |
When to make and break commitments? A Hüyük, Z Qian, M van der Schaar International Conference on Learning Representations (ICLR), 2023 | 3 | 2023 |
When is off-policy evaluation useful? A data-centric perspective H Sun, AJ Chan, N Seedat, A Hüyük, M van der Schaar ICLR Workshop on Data-centric Machine Learning Research, 2024 | 2 | 2024 |
Adaptive experiment design with synthetic controls A Hüyük, Z Qian, M van der Schaar International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 | 1 | 2024 |
Optimising human-AI collaboration by learning convincing explanations A Chan, A Hüyük, M van der Schaar NeurIPS Workshop, XAI in Action: Past, Present, and Future Applications, 2023 | 1 | 2023 |