conftrace_

Alihan Hüyük

21 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 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)

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