Stochastic Composition Optimization and Beyond

Mengdi Wang

Event Location: 

Mohler Lab, Room 453

Bio Sketch: 

Mengdi Wang is interested in data-driven optimization that arises from machine learning and involves uncertainty or hidden information. She received her PhD from Massachusetts Institute of Technology in 2013 and became an assistant professor at Princeton in 2014. She received the Young Researcher Prize in Continuous Optimization of the Mathematical Optimization Society in 2016 (awarded once every three years). http://www.princeton.edu/~mengdiw/