Alihan Hüyük
21 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
👑
Triple Crown
🤝
Dynamic Duo
(17)
🧬
Topic Evolution
🏆
Grand Slam
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
📈
Trend Setter
🗃️
Keyword Collector
(106)
Top co-authors
Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Core AI
(14)
Learning Types
(9)
Healthcare & Medicine
(6)
Clinical
(6)
Optimization & Theory
(5)
Reinforcement Learning
(4)
Methods
(4)
Application Areas
(3)
Core Methods
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Applications
(2)
Optimization
(2)
Keywords
clinical trial
(3)
reward learning
(2)
treatment effect estimation
(2)
inverse reinforcement learning
(2)
bayesian inference
(2)
offline learning
(2)
interpretable representation
(2)
counterfactual reasoning
(2)
imitation learning
(2)
subpopulation selection
(2)
model predictive control
(2)
active learning
(2)
sequential decision making
(1)
bounded rationality
(1)
off-policy evaluation
(1)
decision making
(1)
sample efficiency
(1)
causal reasoning
(1)
zero-shot learning
(1)
policy learning
(1)
Papers
Compositional Causal Reasoning Evaluation in Language Models
ICML 2025
Reasoning Elicitation in Language Models via Counterfactual Feedback
ICLR 2025
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
AISTATS 2025
Transparent Trade-offs between Properties of Explanations
UAI 2025
Unified Screening for Multiple Diseases
ICML 2025
Adaptive Experiment Design with Synthetic Controls
AISTATS 2024
Defining Expertise: Applications to Treatment Effect Estimation
ICLR 2024
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
ICLR 2024
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
NeurIPS 2023
Active Observing in Continuous-time Control
NeurIPS 2023
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
ICML 2023
Neural Laplace Control for Continuous-time Delayed Systems
AISTATS 2023
When to Make and Break Commitments?
ICLR 2023
Inferring Lexicographically-Ordered Rewards from Preferences
AAAI 2022
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
ICML 2022
Online Decision Mediation
NeurIPS 2022
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
NeurIPS 2021
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
ICLR 2021
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
ICML 2021
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms
AISTATS 2019