Publications

2024

1. NeurIPS

   Transductive Active Learning: Theory and Applications

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

   In NeurIPS , 2024

   Bib PDF Code

   @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},
     booktitle = {NeurIPS},
     year = {2024},
   }

2. Oral

   Transductive Active Learning with Application to Safe Bayesian Optimization

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

   In ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists , 2024

   Bib PDF Code Poster Slides

   @inproceedings{hubotter2024transductive2,
     title = {Transductive Active Learning with Application to Safe Bayesian Optimization},
     author = {H{\"u}botter, Jonas and Sukhija, Bhavya and Treven, Lenart and As, Yarden and Krause, Andreas},
     booktitle = {ICML Workshop on Aligning Reinforcement Learning Experimentalists and Theorists},
     year = {2024},
     special = {Oral}
   }

3. Active Few-Shot Fine-Tuning

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

   In ICLR Workshop on Bridging the Gap Between Practice and Theory in Deep Learning , 2024

   Bib PDF Code Poster Slides

   @inproceedings{hubotter2024active,
     title = {Active Few-Shot Fine-Tuning},
     author = {H{\"u}botter, Jonas and Sukhija, Bhavya and Treven, Lenart and As, Yarden and Krause, Andreas},
     booktitle = {ICLR Workshop on Bridging the Gap Between Practice and Theory in Deep Learning},
     year = {2024},
   }

2023

1. NeurIPS

   Efficient Exploration in Continuous-time Model-based Reinforcement Learning

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

   In NeurIPS , 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},
     booktitle = {NeurIPS},
     year = {2023},
   }

2. CoRL

   Tuning Legged Locomotion Controllers via Safe Bayesian Optimization

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

   In CoRL , 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},
     booktitle = {CoRL},
     year = {2023},
   }

2022

1. A Cut-Matching Game for Constant-Hop Expanders

   Bernhard Haeupler, Jonas Huebotter, and Mohsen Ghaffari

   arXiv preprint arXiv:2211.11726, 2022

   Bib PDF

   @article{haeupler2022cut,
     title = {A Cut-Matching Game for Constant-Hop Expanders},
     author = {Haeupler, Bernhard and Huebotter, Jonas and Ghaffari, Mohsen},
     journal = {arXiv preprint arXiv:2211.11726},
     year = {2022}
   }