Alihan Hüyük

According to our database, Alihan Hüyük authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Defining Expertise: Applications to Treatment Effect Estimation.

Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar

CoRR, 2024

Adaptive Experiment Design with Synthetic Controls.

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

CoRR, 2024

2023

When is Off-Policy Evaluation Useful? A Data-Centric Perspective.

Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

Optimising Human-AI Collaboration by Learning Convincing Explanations.

Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.

Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

CoRR, 2023

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL.

Hao Sun, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2023

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.

Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active Observing in Continuous-time Control.

Samuel Holt, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions.

Alicia Curth, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2023

When to Make and Break Commitments?

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Laplace Control for Continuous-time Delayed Systems.

Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

MARS: Assisting Human with Information Processing Tasks Using Machine Learning.

Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar

ACM Trans. Comput. Heal., 2022

Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials.

Alicia Curth, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2022

Online Decision Mediation.

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inverse Contextual Bandits: Learning How Behavior Evolves over Time.

Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

Inferring Lexicographically-Ordered Rewards from Preferences.

Alihan Hüyük, William R. Zame, Mihaela van der Schaar

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives.

Alihan Hüyük, Cem Tekin

Mach. Learn., 2021

Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation.

Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.

Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Inverse Decision Modeling: Learning Interpretable Representations of Behavior.

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the 38th International Conference on Machine Learning, 2021

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.

Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning "What-if" Explanations for Sequential Decision-Making.

Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Thompson Sampling for Combinatorial Network Optimization in Unknown Environments.

Alihan Hüyük, Cem Tekin

IEEE/ACM Trans. Netw., 2020

Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making.

Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2020

2019

Lexicographic Multiarmed Bandit.

Alihan Hüyük, Cem Tekin

CoRR, 2019

Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms.

Alihan Hüyük, Cem Tekin

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms.

Alihan Hüyük, Cem Tekin

CoRR, 2018