Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. - Aaron David Tucker; Thorsten Joachims (CoRR, 2022)

Bandits with costly reward observations. - Aaron David Tucker; Caleb Biddulph; Claire Wang; Thorsten Joachims (UAI, 2023)

Variance-Minimizing Augmentation Logging for Counterfactual Evaluation in Contextual Bandits. - Aaron David Tucker; Thorsten Joachims (WSDM, 2023)

Coactive Learning for Large Language Models using Implicit User Feedback. - Aaron David Tucker; Kianté Brantley; Adam Cahall; Thorsten Joachims (ICML, 2024)

Interpreting learned search: finding a transition model and value function in an RNN that plays Sokoban. - Mohammad Taufeeque; Aaron David Tucker; Adam Gleave; Adrià Garriga-Alonso (CoRR, 2025)