Toyota Technical Institute of Chicago

1 Post

Series of images with graphs and data related to optimization algorithms
Toyota Technical Institute of Chicago

When Optimization is Suboptimal: How gradient descent can sometimes lead to model bias

Bias arises in machine learning when we fit an overly simple function to a more complex problem. A theoretical study shows that gradient descent itself may introduce such bias and render algorithms unable to fit data properly.

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