Publications

2025

1. SODA

   A Cut-Matching Game for Constant-Hop Expanders

   Bernhard Haeupler, Jonas Huebotter, and Mohsen Ghaffari

   In ACM-SIAM Symposium on Discrete Algorithms , 2025

   Bib PDF

   @inproceedings{haeupler2025cut,
     title = {A Cut-Matching Game for Constant-Hop Expanders},
     author = {Haeupler, Bernhard and Huebotter, Jonas and Ghaffari, Mohsen},
     year = {2025},
     booktitle = {ACM-SIAM Symposium on Discrete Algorithms},
   }

2024

1. Oral

   Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs

   Jonas Hübotter, Sascha Bongni, Ido Hakimi , and 1 more author

   arXiv preprint arXiv:2410.08020, 2024

   Oral Presentation at NeurIPS Workshop on Fine-Tuning in Modern Machine Learning, 2024.
   

   Bib PDF

   @article{hubotter2024efficiently,
     title = {Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs},
     author = {H{\"u}botter, Jonas and Bongni, Sascha and Hakimi, Ido and Krause, Andreas},
     year = {2024},
     journal = {arXiv preprint arXiv:2410.08020},
   }

2. Active Fine-Tuning of Generalist Policies

   Marco Bagatella, Jonas Hübotter, Georg Martius , and 1 more author

   arXiv preprint arXiv:2410.05026, 2024

   Bib PDF Website

   @article{bagatella2024active,
     title = {Active Fine-Tuning of Generalist Policies},
     author = {Bagatella, Marco and Hübotter, Jonas and Martius, Georg and Krause, Andreas},
     year = {2024},
     journal = {arXiv preprint arXiv:2410.05026},
   }

3. NeurIPS Oral

   Transductive Active Learning: Theory and Applications

   Jonas Hübotter, Bhavya Sukhija, Lenart Treven , and 2 more authors

   In Advances in Neural Information Processing Systems , 2024

   Oral Presentation at ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists, 2024.
   

   Bib PDF Code Slides

   @inproceedings{hubotter2024transductive,
     title = {Transductive Active Learning: Theory and Applications},
     author = {H{\"u}botter, Jonas and Sukhija, Bhavya and Treven, Lenart and As, Yarden and Krause, Andreas},
     year = {2024},
     booktitle = {Advances in Neural Information Processing Systems},
   }

2023

1. NeurIPS

   Efficient Exploration in Continuous-time Model-based Reinforcement Learning

   Lenart Treven, Jonas Hübotter, Bhavya Sukhija , and 2 more authors

   In Advances in Neural Information Processing Systems , 2023

   Bib PDF

   @inproceedings{treven2023efficient,
     title = {Efficient Exploration in Continuous-time Model-based Reinforcement Learning},
     author = {Treven, Lenart and H{\"u}botter, Jonas and Sukhija, Bhavya and D{\"o}rfler, Florian and Krause, Andreas},
     year = {2023},
     booktitle = {Advances in Neural Information Processing Systems},
   }

2. CoRL

   Tuning Legged Locomotion Controllers via Safe Bayesian Optimization

   Daniel Widmer, Dongho Kang, Bhavya Sukhija , and 3 more authors

   In Conference on Robot Learning , 2023

   Bib PDF

   @inproceedings{widmer2023tuning,
     title = {Tuning Legged Locomotion Controllers via Safe Bayesian Optimization},
     author = {Widmer, Daniel and Kang, Dongho and Sukhija, Bhavya and H{\"u}botter, Jonas and Krause, Andreas and Coros, Stelian},
     year = {2023},
     booktitle = {Conference on Robot Learning},
   }