Sequential Decision Making
Algorithm Design & Analysis
Beyond Model Accuracy
Our goal is not to build a perfectly accurate model. We solve decision-making problems, aiming to gain operational insights.
Sequential Decision Making
We study methodologies for sequential decision making — how to make decisions adaptively while collecting and processing information in real-time.
Theoretical Analysis
We enjoy analyzing algorithms with rigorous mathematical arguments so as to clearly understand what kind of algorithms are optimal when and why.
Featured Work
Join Our Lab!
We are actively recruiting graduate students and undergraduate students.
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