세미나안내
Learning and Control under Uncertainty
2020-12-15
임성빈 교수(UNIST) / 2020.12.16
Biography
Assistant Professor, UNIST Artificial Intelligence Graduate School / Department of Industrial Engineering (2020)
Research Scientist , Kakao Brain
Research Engineer, DeepBio
Data Scientist, Samsung Fire & Marine Insurance
PhD in Mathematics, Korea University
Abstract
A trustworthy AI is one of the classical challenge of the machine learning field in the view of fairness and safety. Uncertainty estimation is an essential component in robust learning and control tasks for the development of trustworthy AI. In this lecture, we will talk about the four types of incomplete data problems and their solutions with uncertainty estimation methods.
ZOOM : https://zoom.us/j/8978217407?pwd=d1pOZmF1OWlseEdZRVBpV3VuSkl3dz09
ID : 897 821 7407
PW : 1nTQDY