Thomas Kleine Buening

According to our database, Thomas Kleine Buening authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Aligning Language Models from User Interactions.

Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause

CoRR, March, 2026

MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference.

Raphaël Baur, Yannick Metz, Maria Gkoulta, Mennatallah El-Assady, Giorgia Ramponi, Thomas Kleine Buening

CoRR, February, 2026

Reinforcement Learning via Self-Distillation.

Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause

CoRR, January, 2026

2025

Stackelberg Learning from Human Feedback: Preference Optimization as a Sequential Game.

Barna Pásztor, Thomas Kleine Buening, Andreas Krause

CoRR, December, 2025

A Unifying Framework for Causal Imitation Learning with Hidden Confounders.

Daqian Shao, Thomas Kleine Buening, Marta Kwiatkowska

CoRR, February, 2025

Strategyproof Reinforcement Learning from Human Feedback.

Thomas Kleine Buening, Jiarui Gan, Debmalya Mandal, Marta Kwiatkowska

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Minimax Approach to Ad Hoc Teamwork.

Victor Villin, Thomas Kleine Buening, Christos Dimitrakakis

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

2024

Learning in the Presence of Cooperative, Adversarial and Strategic Agents.

Thomas Kleine Buening

PhD thesis, 2024

Strategic Linear Contextual Bandits.

Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Environment Design for Inverse Reinforcement Learning.

Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation.

Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits.

Thomas Kleine Buening, Aadirupa Saha

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Minimax-Bayes Reinforcement Learning.

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Environment Design for Inverse Reinforcement Learning.

Thomas Kleine Buening, Christos Dimitrakakis

CoRR, 2022

Interactive Inverse Reinforcement Learning for Cooperative Games.

Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis

Proceedings of the International Conference on Machine Learning, 2022

On Meritocracy in Optimal Set Selection.

Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

Fair Set Selection: Meritocracy and Social Welfare.

Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis

CoRR, 2021