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Use this tag for any use of optimization within statistics.

5 votes
1 answer
550 views

Which approaches exist for optimization in machine learning?

But these are not optimization problems. … directly because they have a closed form solution (e.g. linear regression with least squares) Optimization(?) …
Saucy Goat's user avatar
1 vote
1 answer
70 views

No gradient for one parameter on the first iteration of gradient descent

Say we have a dataset $D$ of 2-tuples $(x, y)$ where $y$ is the target variable and a function $f_\theta$: $$ D = \{(1, 3), (2, 5), (3, 8), (4, 6), (5, 9)\},\quad f_\theta(x) = \theta_0 + \theta_1 x. …
Saucy Goat's user avatar