Past Awards
2022
Frederick W. Lanchester Prize:
Winner(s)
Winning material:
For the papers: Learning to Optimize via Posterior Sampling, An Information-Theoretic Analysis of Thompson Sampling, Learning to Optimize via Information-Directed Sampling, and A Tutorial on Thompson Sampling
Citation:
These papers have made fundamental contributions to the area of online statistical learning and optimization, providing a unifying view of a broad set of these problems. The work has changed the way the entire field conceptualizes foundational approaches to the acquisition and exploitation of information, and it has opened up new avenues for both theoretical and applied work.
2015
INFORMS Elected Fellows:
Awardee(s)