Alihan Hüyük
21 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (9)
🐝
Cross-Pollinator
(9)
🌈
Renaissance Researcher
(6)
🗺️
Taxonomy Completionist
(25)
🤝
Dynamic Duo
(17)
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(62)
🔥
Unstoppable
(5)
💎
Century Club
(21)
⚡
Prolific Year
(5)
📈
Trend Setter
❓
The Questioner
Conferences
ICLR (6)
ICML (5)
AISTATS (4)
NIPS (4)
AAAI (1)
UAI (1)
Top co-authors
Keywords
interpretable representation
(2)
reward learning
(2)
imitation learning
(2)
model predictive control
(2)
online learning
(1)
sequential decision
(1)
reinforcement learning
(1)
policy learning
(1)
offline reinforcement learning
(1)
preference learning
(1)
generalization error
(1)
model-based reinforcement learning
(1)
thompson sampling
(1)
machine learning
(1)
preference inference
(1)
bounded rationality
(1)
sample efficiency
(1)
multi-objective optimization
(1)
regret bound
(1)
active learning
(1)
Papers
Transparent Trade-offs between Properties of Explanations
UAI 2025
Compositional Causal Reasoning Evaluation in Language Models
ICML 2025
Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions
AISTATS 2025
Reasoning Elicitation in Language Models via Counterfactual Feedback
ICLR 2025
Unified Screening for Multiple Diseases
ICML 2025
Adaptive Experiment Design with Synthetic Controls
AISTATS 2024
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
ICLR 2024
Defining Expertise: Applications to Treatment Effect Estimation
ICLR 2024
Active Observing in Continuous-time Control
NIPS 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
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
NIPS 2023
When to Make and Break Commitments?
ICLR 2023
Online Decision Mediation
NIPS 2022
Inferring Lexicographically-Ordered Rewards from Preferences
AAAI 2022
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
ICML 2022
Learning "What-if" Explanations for Sequential Decision-Making
ICLR 2021
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
ICLR 2021
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation
NIPS 2021
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
ICML 2021
Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms
AISTATS 2019