Alihan Hüyük

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 38

Top Topics

Medical Decision Support

Reinforcement Learning

Machine Learning

Multiarmed Bandit

Top Venues

Publications

Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Adaptive Experiment Design with Synthetic Controls. CoRR (2024)
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
Adaptive Experiment Design with Synthetic Controls. AISTATS (2024)
Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
Defining Expertise: Applications to Treatment Effect Estimation. ICLR (2024)
Hao Sun, Alihan Hüyük, Mihaela van der Schaar
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR (2024)
Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
Defining Expertise: Applications to Treatment Effect Estimation. CoRR (2024)
Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar
Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR (2023)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR (2023)
Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
Neural Laplace Control for Continuous-time Delayed Systems. CoRR (2023)
Hao Sun, Alihan Hüyük, Mihaela van der Schaar
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR (2023)
Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. ICML (2023)
Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
Neural Laplace Control for Continuous-time Delayed Systems. AISTATS (2023)
Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
When to Make and Break Commitments? ICLR (2023)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Online Decision Mediation. CoRR (2023)
Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR (2023)
Samuel Holt, Alihan Hüyük, Mihaela van der Schaar
Active Observing in Continuous-time Control. NeurIPS (2023)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR (2023)
Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS (2023)
Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR (2023)
Alihan Hüyük, William R. Zame, Mihaela van der Schaar
Inferring Lexicographically-Ordered Rewards from Preferences. CoRR (2022)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Online Decision Mediation. NeurIPS (2022)
Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. 3 (2) (2022)
Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. CoRR (2022)
Alihan Hüyük, William R. Zame, Mihaela van der Schaar
Inferring Lexicographically-Ordered Rewards from Preferences. AAAI (2022)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML (2022)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR (2021)
Alihan Hüyük, Cem Tekin
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. 110 (6) (2021)
Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS (2021)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks (2021)
Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR (2021)
Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Learning "What-if" Explanations for Sequential Decision-Making. ICLR (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR (2021)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. 28 (6) (2020)
Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR (2020)
Alihan Hüyük, Cem Tekin
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS (2019)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR (2019)
Alihan Hüyük, Cem Tekin
Lexicographic Multiarmed Bandit. CoRR (2019)
Alihan Hüyük, Cem Tekin
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR (2018)