Question

Confusion after attempting to apply chain rule with respect to matrix, using a Frobenius product.

score 149 · Answer 1 · 2026-04-12 10:05:30

149

Views

Confusion after attempting to apply chain rule with respect to matrix, using a Frobenius product.

Published on 12 Apr 2026 - 10:05

score 55 · Answer 2 · 2026-05-10 15:51:36

55

Views

Need help in understanding a section of a paper.

Published on 10 May 2026 - 15:51

score 167 · Answer 3 · 2026-04-17 04:20:08

167

Views

Minimizing $f(\vec{x})$ along a line via the line search algorithm

Published on 17 Apr 2026 - 4:20

score 151 · Answer 4 · 2026-04-10 06:23:54

151

Views

How to find the minimum of a noisy function that has very narrow valleys?

Published on 10 Apr 2026 - 6:23

score 408 · Answer 5 · 2026-04-11 04:41:20

408

Views

Can the directional derivative be considered a total derivative?

Published on 11 Apr 2026 - 4:41

score 277 · Answer 6 · 2026-05-10 15:00:50

277

Views

How to compute gradient of a custom loss function in neural networks and make sure it is diffentiable?

Published on 10 May 2026 - 15:00

score 386 · Answer 7 · 2026-03-25 09:32:46

386

Views

Multiplicative update rules for NMF

Published on 25 Mar 2026 - 9:32

score 71 · Answer 8 · 2026-05-10 16:07:08

71

Views

Quadratic function optimum not aligning with implementation.

Published on 10 May 2026 - 16:07

score 60 · Answer 9 · 2026-04-14 07:17:44

60

Views

Counterexample: is there a solution of $\dot{x}(t)=-\nabla f(x)(t)$ with infinite length?

Published on 14 Apr 2026 - 7:17

score 53 · Answer 10 · 2026-05-10 13:45:49

53

Views

Understanding a question about gradient descent flow

Published on 10 May 2026 - 13:45

score 224 · Answer 11 · 2026-05-10 16:01:50

224

Views

Convergence of non-convex optimization algorithms to an $\epsilon$-accurate solution

Published on 10 May 2026 - 16:01

score 390 · Answer 12 · 2026-04-15 09:42:21

390

Views

How are both of these true: $J = \nabla f ^T $, and also $\nabla f = J^T f$?

Published on 15 Apr 2026 - 9:42

score 476 · Answer 13 · 2026-05-04 13:51:01

476

Views

Gradient descent converges to critical points for non-convex functions

Published on 04 May 2026 - 13:51

score 444 · Answer 14 · 2026-04-13 14:55:26

444

Views

What is difference between "Frank–Wolfe algorithm" and "Gradient steepest descent algorithm"?

Published on 13 Apr 2026 - 14:55

score 263 · Answer 15 · 2026-05-10 15:55:05

263

Views

Why not: Multiple Steps in the Direction of One Gradient

Published on 10 May 2026 - 15:55

List Question

Confusion after attempting to apply chain rule with respect to matrix, using a Frobenius product.

Need help in understanding a section of a paper.

Minimizing $f(\vec{x})$ along a line via the line search algorithm

How to find the minimum of a noisy function that has very narrow valleys?

Can the directional derivative be considered a total derivative?

How to compute gradient of a custom loss function in neural networks and make sure it is diffentiable?

Multiplicative update rules for NMF

Quadratic function optimum not aligning with implementation.

Counterexample: is there a solution of $\dot{x}(t)=-\nabla f(x)(t)$ with infinite length?

Understanding a question about gradient descent flow

Convergence of non-convex optimization algorithms to an $\epsilon$-accurate solution

How are both of these true: $J = \nabla f ^T $, and also $\nabla f = J^T f$?

Gradient descent converges to critical points for non-convex functions

What is difference between "Frank–Wolfe algorithm" and "Gradient steepest descent algorithm"?

Why not: Multiple Steps in the Direction of One Gradient

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