Asymptotic Methods in Statistics

Implicit bias in optimization algorithms

by Dr Yurii Malitskyi (University of Vienna, Austria)

Europe/Kiev
https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3QT09 (ONLINE)

https://knu-ua.zoom.us/j/89643295643?pwd=eTBZZSt0d0thZzFyaUhDUFNGTVE3QT09

ONLINE

Description

 In this talk, we will explore the role of implicit bias in optimization algorithms. Implicit bias refers to the tendency of an algorithm to converge to a specific solution even in the absence of an explicit regularization term in its formulation. In other words, implicit bias emerges from how the algorithm itself interacts with the objective function it’s trying to minimize. We will demonstrate this concept through a few surprising applications.