Alihan Hüyük

50 papers A* 16A 5Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Compositional Causal Reasoning Evaluation in Language Models. ICML Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González
2025	J	`jnl`	Compositional Causal Reasoning Evaluation in Language Models. CoRR Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González
2025	A*	`conf`	Reasoning Elicitation in Language Models via Counterfactual Feedback. ICLR Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González
2025	J	`jnl`	Strategically Linked Decisions in Long-Term Planning and Reinforcement Learning. CoRR Alihan Hüyük, Finale Doshi-Velez
2025	A	`conf`	Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. AISTATS Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela van der Schaar
2025	J	`jnl`	Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. CoRR Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela van der Schaar
2025	A	`conf`	Transparent Trade-offs between Properties of Explanations. UAI Hiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez
2025	A*	`conf`	Unified Screening for Multiple Diseases. ICML Yigit Narter, Alihan Hüyük, Mihaela van der Schaar, Cem Tekin
2024	A	`conf`	Adaptive Experiment Design with Synthetic Controls. AISTATS Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Adaptive Experiment Design with Synthetic Controls. CoRR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	Defining Expertise: Applications to Treatment Effect Estimation. ICLR Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
2024	J	`jnl`	Defining Expertise: Applications to Treatment Effect Estimation. CoRR Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
2024	J	`jnl`	Directly Optimizing Explanations for Desired Properties. CoRR Hiwot Belay Tadesse, Alihan Hüyük, Weiwei Pan, Finale Doshi-Velez
2024	J	`jnl`	Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning. CoRR Alihan Hüyük, Arndt Ryo Koblitz, Atefeh Mohajeri, Matthew Andrews
2024	A*	`conf`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2024	J	`jnl`	Reasoning Elicitation in Language Models via Counterfactual Feedback. CoRR Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González
2024	J	`jnl`	When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective. J. Data-centric Mach. Learn. Res. Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	J	`jnl`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	A*	`conf`	Active Observing in Continuous-time Control. NeurIPS Samuel Holt, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. ICML Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	J	`jnl`	Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2023	A	`conf`	Neural Laplace Control for Continuous-time Delayed Systems. AISTATS Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Neural Laplace Control for Continuous-time Delayed Systems. CoRR Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Online Decision Mediation. CoRR Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	When to Make and Break Commitments? ICLR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. CoRR Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
2022	A*	`conf`	Inferring Lexicographically-Ordered Rewards from Preferences. AAAI Alihan Hüyük, William R. Zame, Mihaela van der Schaar
2022	J	`jnl`	Inferring Lexicographically-Ordered Rewards from Preferences. CoRR Alihan Hüyük, William R. Zame, Mihaela van der Schaar
2022	A*	`conf`	Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2022	J	`jnl`	MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
2022	A*	`conf`	Online Decision Mediation. NeurIPS Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2021	A*	`conf`	Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar
2021	A*	`conf`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
2021	J	`jnl`	Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	A*	`conf`	Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2021	A*	`conf`	Learning "What-if" Explanations for Sequential Decision-Making. ICLR Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2021	J	`jnl`	Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. Alihan Hüyük, Cem Tekin
2021	—	`conf`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	J	`jnl`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2020	J	`jnl`	Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2020	J	`jnl`	Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. Alihan Hüyük, Cem Tekin
2019	A	`conf`	Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS Alihan Hüyük, Cem Tekin
2019	J	`jnl`	Lexicographic Multiarmed Bandit. CoRR Alihan Hüyük, Cem Tekin
2019	J	`jnl`	Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR Alihan Hüyük, Cem Tekin
2018	J	`jnl`	Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR Alihan Hüyük, Cem Tekin