Publications and Preprints

2024

• Strategic Linear Contextual Bandits [pdf]
  Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
  Conference on Neural Information Processing Systems (NeurIPS 2024)

• Environment Design for Inverse Reinforcement Learning [pdf]
  Thomas Kleine Buening$^\star$, Victor Villin$^\star$, Christos Dimitrakakis
  International Conference on Machine Learning (ICML 2024); Oral (1.5%)

• Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation [pdf]
  Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
  International Conference on Learning Representations (ICLR 2024); Spotlight (5%)

2023

• Minimax-Bayes Reinforcement Learning [pdf]
  Thomas Kleine Buening$^\star$, Christos Dimitrakakis$^\star$, Hannes Eriksson$^\star$, Divya Grover$^\star$, Emilio Jorge$^\star$
  International Conference on Artificial Intelligence and Statistics (AISTATS 2023)

• An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits [pdf]
  Thomas Kleine Buening, Aadirupa Saha
  International Conference on Artificial Intelligence and Statistics (AISTATS 2023)

2022

• Interactive Inverse Reinforcement Learning for Cooperative Games [pdf]
  Thomas Kleine Buening, Anne-Marie George, Christos Dimitrakakis
  International Conference on Machine Learning (ICML 2022)
  Best Paper Award at the Cooperative AI Workshop at NeurIPS 2021

• On Meritocracy in Optimal Set Selection [pdf]
  Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
  ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO 2022)
  Best Student Paper Award

$^\star$ denotes equal contribution