00:00 Robust Regression Basics
02:06 Outliers and Genomics
03:25 Why Least Squares Fails
06:50 Fat Tails Idea
07:36 Laplace and L1 Loss
12:00 Huber Loss Middle Ground
15:32 Huber Gradients Intuition
18:15 Student t Errors
27:16 Heteroscedasticity Fixes
30:31 Variance Stabilizing Transforms
34:25 REC Curves for Evaluation
36:39 Wrap Up and Takeaways
