# Optimization Nuggets: Implicit Bias of Gradient-based Methods

Losses with Unique Finite Root.

When an optimization problem has multiple global minima, different algorithms can find different solutions, a phenomenon often referred to as the *implicit bias* of optimization algorithms. In this post we'll characterize the implicit bias of gradient-based methods on a class of regression problems that includes linear least squares and Huber …