CS Events Monthly View

Faculty Candidate Talk

Adaptive, Data-Driven Exploration For Optimal Learning

 

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Friday, April 20, 2018, 10:30am
 

Traditional learning algorithms based on action feedback in new or uncertain environments try to strike a balance between 'exploitation' - relying on actions or avenues currently believed to be optimal - and 'exploration' - trying new actions or untested

Speaker: Wesley Cowan

Bio

Successfully fleeing the frigid wastelands of undergraduate mathematics at Carnegie Mellon University, Wes Cowan received his PhD in Mathematics from Rutgers in 2016, focusing on applied probability and sequential-decision problems. Since then, Wes has be

Location : CoRE 301

Committee: 

Teaching Professor of Practice Committee, Computer Science Department

Event Type: Faculty Candidate Talk

Abstract: 

Organization: 

Rutgers University