@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
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.
@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},}
Active Fine-Tuning of Generalist Policies
Marco Bagatella, Jonas Hübotter, Georg Martius , and 1 more author
@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},}
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.
@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
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
@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},}
CoRL
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Daniel Widmer, Dongho Kang, Bhavya Sukhija , and 3 more authors
@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},}