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Alihan Hüyük
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2020 – today
- 2025
- [c18]Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González:
Reasoning Elicitation in Language Models via Counterfactual Feedback. ICLR 2025 - [i23]Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González:
Compositional Causal Reasoning Evaluation in Language Models. CoRR abs/2503.04556 (2025) - [i22]Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela van der Schaar:
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. CoRR abs/2503.09226 (2025) - 2024
- [c17]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
Adaptive Experiment Design with Synthetic Controls. AISTATS 2024: 1180-1188 - [c16]Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar:
Defining Expertise: Applications to Treatment Effect Estimation. ICLR 2024 - [c15]Hao Sun, Alihan Hüyük, Mihaela van der Schaar:
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR 2024 - [i21]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
Adaptive Experiment Design with Synthetic Controls. CoRR abs/2401.17205 (2024) - [i20]Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar:
Defining Expertise: Applications to Treatment Effect Estimation. CoRR abs/2403.00694 (2024) - [i19]Alihan Hüyük, Arndt Ryo Koblitz, Atefeh Mohajeri, Matthew Andrews:
Disentangling Recognition and Decision Regrets in Image-Based Reinforcement Learning. CoRR abs/2409.13108 (2024) - [i18]Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González:
Reasoning Elicitation in Language Models via Counterfactual Feedback. CoRR abs/2410.03767 (2024) - [i17]Hiwot Belay Tadesse, Alihan Hüyük, Weiwei Pan, Finale Doshi-Velez:
Directly Optimizing Explanations for Desired Properties. CoRR abs/2410.23880 (2024) - 2023
- [c14]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. AISTATS 2023: 1747-1778 - [c13]Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar:
When to Make and Break Commitments? ICLR 2023 - [c12]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: 6603-6622 - [c11]Samuel Holt, Alihan Hüyük, Mihaela van der Schaar:
Active Observing in Continuous-time Control. NeurIPS 2023 - [c10]Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS 2023 - [i16]Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar:
Neural Laplace Control for Continuous-time Delayed Systems. CoRR abs/2302.12604 (2023) - [i15]Hao Sun, Alihan Hüyük, Mihaela van der Schaar:
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR abs/2309.06553 (2023) - [i14]Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR abs/2310.07747 (2023) - [i13]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR abs/2310.18591 (2023) - [i12]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Online Decision Mediation. CoRR abs/2310.18601 (2023) - [i11]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR abs/2310.19831 (2023) - [i10]Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar:
Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR abs/2311.07426 (2023) - [i9]Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar:
When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR abs/2311.14110 (2023) - 2022
- [j3]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): 21:1-21:19 (2022) - [c9]Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. AAAI 2022: 5737-5745 - [c8]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML 2022: 9506-9524 - [c7]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Online Decision Mediation. NeurIPS 2022 - [i8]Alihan Hüyük, William R. Zame, Mihaela van der Schaar:
Inferring Lexicographically-Ordered Rewards from Preferences. CoRR abs/2202.10153 (2022) - [i7]Alicia Curth, Alihan Hüyük, Mihaela van der Schaar:
Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. CoRR abs/2208.05844 (2022) - 2021
- [j2]Alihan Hüyük
, Cem Tekin
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives. Mach. Learn. 110(6): 1233-1266 (2021) - [c6]Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Learning "What-if" Explanations for Sequential Decision-Making. ICLR 2021 - [c5]Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar:
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR 2021 - [c4]Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML 2021: 4755-4771 - [c3]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 - [c2]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: 23205-23217 - [i6]Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR abs/2106.04240 (2021) - [i5]Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar:
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR abs/2107.06317 (2021) - 2020
- [j1]Alihan Hüyük
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. IEEE/ACM Trans. Netw. 28(6): 2836-2849 (2020) - [i4]Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar:
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR abs/2007.13531 (2020)
2010 – 2019
- 2019
- [c1]Alihan Hüyük, Cem Tekin:
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. AISTATS 2019: 1322-1330 - [i3]Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Network Optimization in Unknown Environments. CoRR abs/1907.04201 (2019) - [i2]Alihan Hüyük, Cem Tekin:
Lexicographic Multiarmed Bandit. CoRR abs/1907.11605 (2019) - 2018
- [i1]Alihan Hüyük, Cem Tekin:
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. CoRR abs/1809.02707 (2018)
Coauthor Index
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last updated on 2025-05-17 00:32 CEST by the dblp team
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