Andreas Krause
- Papers
- 13
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Authored papers
13Reinforcement Learning via Self-Distillation
arXiv 2026
Aligning Language Models from User Interactions
arXiv 2026
Bounded Ratio Reinforcement Learning
arXiv 2026
ActiveUltraFeedback: Efficient Preference Data Generation using Active Learning
arXiv 2026
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
arXiv 2025
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
arXiv 2025
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
arXiv 2024
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
arXiv 2024
All models are wrong, some are useful: Model Selection with Limited Labels
arXiv 2024
Submodular Reinforcement Learning
arXiv 2023
Amortized Inference for Causal Structure Learning
arXiv 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
arXiv 2022
Neural Contextual Bandits without Regret
arXiv 2021
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