Hübotter, Jonas

11 publications

ICML 2025 Active Fine-Tuning of Multi-Task Policies Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause

NeurIPS 2025 DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause

ICLR 2025 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

AISTATS 2025 LITE: Efficiently Estimating Gaussian Probability of Maximality Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause

NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

NeurIPSW 2024 Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

ICMLW 2024 Transductive Active Learning with Application to Safe Bayesian Optimization Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

NeurIPS 2024 Transductive Active Learning: Theory and Applications Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

NeurIPS 2023 Efficient Exploration in Continuous-Time Model-Based Reinforcement Learning Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dorfler, Andreas Krause

CoRL 2023 Tuning Legged Locomotion Controllers via Safe Bayesian Optimization Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros