Broad Institute Models, Inference, and Algorithms (MIA) Seminar

Abstract

This talk covers “Mechanisms for Generalized Machine Learning Across Tasks and Environments”. In addition to personalized multi-task learning for healthcare, it introduces a KL-control technique for combining reinforcement and supervised learning, and describes how to apply it to the problem of drug discovery.

Date
2019
Location
Broad Institute
415 Main St, Cambridge, MA 02142
Xiaoshan Huang
Xiaoshan Huang
Ph.D. Candidate in Educational Psychology - Learning Sciences

My research focuses on learners' cognitive and affective experience in technology-rich contexts. I am committed to using advanced technologies to benefit learners' social emotional interactions and aid collaborators' decision-making in problem-solving tasks.