Daniel Russo
Share:
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.
2016
Junior Faculty Forum Paper Competition:
First Place
Winning material:
"Simple Bayesian Algorithms for Best Arm Identification"
2014
George Nicholson Student Paper Competition:
First Place
Winning material:
Learning to Optimize via Information-Directed Sampling