Jonas Hübotter

27 papers A* 5A 1Misc 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Language Models from User Interactions. CoRR Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause
2026	J	`jnl`	Reinforcement Learning via Self-Distillation. CoRR Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause
2026	J	`jnl`	Self-Distillation Enables Continual Learning. CoRR Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal
2026	J	`jnl`	Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data. CoRR Emre Can Acikgoz, Cheng Qian, Jonas Hübotter, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur
2025	A*	`conf`	A Cut-Matching Game for Constant-Hop Expanders. SODA Bernhard Haeupler, Jonas Hübotter, Mohsen Ghaffari
2025	A*	`conf`	Active Fine-Tuning of Multi-Task Policies. ICML Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause
2025	J	`jnl`	DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning. CoRR Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause
2025	A*	`conf`	Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. ICLR Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
2025	A	`conf`	LITE: Efficiently Estimating Gaussian Probability of Maximality. AISTATS Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause
2025	J	`jnl`	LITE: Efficiently Estimating Gaussian Probability of Maximality. CoRR Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause
2025	J	`jnl`	Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning. CoRR Jonas Hübotter, Leander Diaz-Bone, Ido Hakimi, Andreas Krause, Moritz Hardt
2025	J	`jnl`	Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging. CoRR Ryo Bertolissi, Jonas Hübotter, Ido Hakimi, Andreas Krause
2025	J	`jnl`	Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning. CoRR Matthias Otth, Jonas Hübotter, Ido Hakimi, Andreas Krause
2025	J	`jnl`	Probabilistic Artificial Intelligence. CoRR Andreas Krause, Jonas Hübotter
2025	J	`jnl`	Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models. CoRR Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur
2025	J	`jnl`	Test-time Offline Reinforcement Learning on Goal-related Experience. CoRR Marco Bagatella, Mert Albaba, Jonas Hübotter, Georg Martius, Andreas Krause
2024	J	`jnl`	Active Few-Shot Fine-Tuning. CoRR Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024	J	`jnl`	Active Fine-Tuning of Generalist Policies. CoRR Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause
2024	J	`jnl`	Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. CoRR Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause
2024	J	`jnl`	Information-based Transductive Active Learning. CoRR Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2024	A*	`conf`	Transductive Active Learning: Theory and Applications. NeurIPS Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
2023	A*	`conf`	Efficient Exploration in Continuous-time Model-based Reinforcement Learning. NeurIPS Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
2023	J	`jnl`	Efficient Exploration in Continuous-time Model-based Reinforcement Learning. CoRR Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause
2023	Misc	`conf`	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRL Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
2023	J	`jnl`	Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRR Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros
2022	J	`jnl`	A Cut-Matching Game for Constant-Hop Expanders. CoRR Bernhard Haeupler, Jonas Hübotter, Mohsen Ghaffari
2021	J	`jnl`	Implementation of Algorithms for Right-Sizing Data Centers. CoRR Jonas Hübotter