Huyuk, Alihan

24 publications

ICML 2025 Compositional Causal Reasoning Evaluation in Language Models Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier Gonzalez

ICLR 2025 Reasoning Elicitation in Language Models via Counterfactual Feedback Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier Gonzalez

AISTATS 2025 Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela Schaar

UAI 2025 Transparent Trade-Offs Between Properties of Explanations Hiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez

ICML 2025 Unified Screening for Multiple Diseases Yiğit Narter, Alihan Hüyük, Mihaela Van Der Schaar, Cem Tekin

AISTATS 2024 Adaptive Experiment Design with Synthetic Controls Alihan Hüyük, Zhaozhi Qian, Mihaela Schaar

ICLR 2024 Defining Expertise: Applications to Treatment Effect Estimation Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar

ICLR 2024 Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Hao Sun, Alihan Hüyük, Mihaela van der Schaar

DMLR 2024 When Is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? a Data-Centric Perspective Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

NeurIPS 2023 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

NeurIPS 2023 Active Observing in Continuous-Time Control Samuel Holt, Alihan Hüyük, Mihaela van der Schaar

ICML 2023 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar

AISTATS 2023 Neural Laplace Control for Continuous-Time Delayed Systems Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela Schaar

NeurIPSW 2023 Optimising Human-AI Collaboration by Learning Convincing Explanations Alex Chan, Alihan Hüyük, Mihaela van der Schaar

ICLR 2023 When to Make and Break Commitments? Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar

AAAI 2022 Inferring Lexicographically-Ordered Rewards from Preferences Alihan Hüyük, William R. Zame, Mihaela van der Schaar

ICML 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time Alihan Hüyük, Daniel Jarrett, Mihaela Schaar

NeurIPS 2022 Online Decision Mediation Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

NeurIPS 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

ICLR 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar

ICML 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar

ICLR 2021 Learning "What-If" Explanations for Sequential Decision-Making Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

MLJ 2021 Multi-Objective Multi-Armed Bandit with Lexicographically Ordered and Satisficing Objectives Alihan Hüyük, Cem Tekin

AISTATS 2019 Analysis of Thompson Sampling for Combinatorial Multi-Armed Bandit with Probabilistically Triggered Arms Alihan Huyuk, Cem Tekin