Talk based our paper 'Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection'.
Talk based on paper with co-authors: Emma Brunskill. The current flood of information in all areas of machine learning research, from computer vision to reinforcement learning, has made it difficult to make aggregate scientific inferences. It can be …
Talk based on work with co-authors: Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau. The use of dialogue systems as a medium for human-machine interaction is an increasingly prevalent paradigm. A …