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Use this tag for any use of optimization within statistics.
5
votes
1
answer
550
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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(?) …
1
vote
1
answer
70
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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.
…