Stack Exchange

David Kozak

Boulder, CO, United States

https://www.kolinear.com/

Mathematician with interests in optimization, inverse problems, dynamical systems, kernel methods, and optimal control.

LinkedIn

top accounts reputation activity subscriptions

Top Questions

Is there an accepted method to determine an approximate dimension for manifold learning

machine-learning dimensionality-reduction manifold-learning asked Jan 21, 2017 at 1:44

stats.stackexchange.com

Why use perplexity rather than nearest neighbor match in t-SNE?

machine-learning dimensionality-reduction information-theory tsne asked Jan 9, 2017 at 17:44

stats.stackexchange.com

Top Answers

Who invented stochastic gradient descent?

stats.stackexchange.com

The reason of superiority of Limited-memory BFGS over ADAM solver

stats.stackexchange.com

How does the second derivative inform an update step in Gradient Descent?

stats.stackexchange.com

Can the dimensions be reduced with PCA without loss of data if $N>p$?

stats.stackexchange.com

When will gradient descent converge to a critical point or to a local/global minima) for non-convex functions?

stats.stackexchange.com

$X$, $Y$ independent identically distributed. Are there counterexamples to symmetry of $X-Y$?

stats.stackexchange.com

textbook example of KL Divergence

stats.stackexchange.com

Working on Confidence Interval and its meaning

stats.stackexchange.com