| 2025 | AISTATS | Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. | Omer Noy Klein, Alihan Hyk, Ron Shamir, Uri Shalit, Mihaela van der Schaar |
| 2025 | ICLR | Reasoning Elicitation in Language Models via Counterfactual Feedback. | Alihan Hyk, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier Gonzlez |
| 2025 | ICML | Compositional Causal Reasoning Evaluation in Language Models. | Jacqueline R. M. A. Maasch, Alihan Hyk, Xinnuo Xu, Aditya V. Nori, Javier Gonzlez |
| 2025 | ICML | Unified Screening for Multiple Diseases. | Yigit Narter, Alihan Hyk, Mihaela van der Schaar, Cem Tekin |
| 2025 | UAI | Transparent Trade-offs between Properties of Explanations. | Hiwot Belay Tadesse, Alihan Hyk, Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez |
| 2024 | AISTATS | Adaptive Experiment Design with Synthetic Controls. | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | ICLR | Defining Expertise: Applications to Treatment Effect Estimation. | Alihan Hyk, Qiyao Wei, Alicia Curth, Mihaela van der Schaar |
| 2024 | ICLR | Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. | Hao Sun, Alihan Hyk, Mihaela van der Schaar |
| 2023 | AISTATS | Neural Laplace Control for Continuous-time Delayed Systems. | Samuel Holt, Alihan Hyk, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar |
| 2023 | ICLR | When to Make and Break Commitments? | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICML | Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. | Alicia Curth, Alihan Hyk, Mihaela van der Schaar |
| 2022 | AAAI | Inferring Lexicographically-Ordered Rewards from Preferences. | Alihan Hyk, William R. Zame, Mihaela van der Schaar |
| 2022 | ICML | Inverse Contextual Bandits: Learning How Behavior Evolves over Time. | Alihan Hyk, Daniel Jarrett, Mihaela van der Schaar |
| 2021 | ICLR | Learning "What-if" Explanations for Sequential Decision-Making. | Ioana Bica, Daniel Jarrett, Alihan Hyk, Mihaela van der Schaar |
| 2021 | ICLR | Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. | Alihan Hyk, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar |
| 2021 | ICML | Inverse Decision Modeling: Learning Interpretable Representations of Behavior. | Daniel Jarrett, Alihan Hyk, Mihaela van der Schaar |
| 2019 | AISTATS | Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. | Alihan Hyk, Cem Tekin |