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Alihan Hüyük
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Cited by
Year
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
312021
Inverse decision modeling: Learning interpretable representations of behavior
D Jarrett, A Hüyük, M van der Schaar
International Conference on Machine Learning (ICML), 2021
252021
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
252019
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
222021
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
152021
Inverse contextual bandits: Learning how behavior evolves over time
A Hüyük, D Jarrett, M van der Schaar
International Conference on Machine Learning (ICML), 2022
112022
Thompson sampling for combinatorial network optimization in unknown environments
A Hüyük, C Tekin
IEEE/ACM Transactions on Networking 28 (6), 2836-2849, 2020
102020
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives
A Hüyük, C Tekin
Machine Learning 110 (6), 1233-1266, 2021
72021
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
6*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
62023
Inferring lexicographically-ordered rewards from preferences
A Hüyük, WR Zame, M van der Schaar
AAAI Conference on Artificial Intelligence, 2022
52022
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
52021
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
Active observing continuous-time control
S Holt, A Hüyük, M van der Schaar
Conference on Neural Information Processing Systems (NeurIPS), 2023
32023
When to make and break commitments?
A Hüyük, Z Qian, M van der Schaar
International Conference on Learning Representations (ICLR), 2023
32023
Online decision mediation
D Jarrett, A Hüyük, M van der Schaar
Conference on Neural Information Processing Systems (NeurIPS), 2022
32022
Adaptive experiment design with synthetic controls
A Hüyük, Z Qian, M van der Schaar
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
12024
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
12024
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
12024
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
12023
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Articles 1–20