Question

How to give a high-probability uniform estimation of a potential having access to noisy pointwise estimates of the associated vector field?

score 25 · Answer 1 · 2026-04-04 03:44:11

25

Views

How to give a high-probability uniform estimation of a potential having access to noisy pointwise estimates of the associated vector field?

Published on 04 Apr 2026 - 3:44

score 33 · Answer 2 · 2026-04-08 02:33:46

33

Views

Any resources such as books, short courses, sites or other that I could avail myself of to improve my ability to model word problems as equations?

Published on 08 Apr 2026 - 2:33

score 165 · Answer 3 · 2026-03-29 09:18:52

165

Views

Proving a function is non-convex through contradiction

Published on 29 Mar 2026 - 9:18

score 154 · Answer 4 · 2026-04-12 01:57:08

154

Views

Why can a similarity matrix be used instead of a Laplace matrix when using spectral clustering methods?

Published on 12 Apr 2026 - 1:57

score 53 · Answer 5 · 2022-10-14 20:24:28

53

Views

Let $A$ be a vector and $B$ an $n \times n$ matrix. What does it mean to do $(A^T)BA$?

Published on 14 Oct 2022 - 20:24

score 42 · Answer 6 · 2026-04-11 10:00:25

42

Views

Verbal Interpretation of this Integral (Kernels for Statistical ML Theory)

Published on 11 Apr 2026 - 10:00

score 53 · Answer 7 · 2026-03-25 14:46:58

53

Views

How much datapoints must be in a subset of a dataset before the subset is representative of that parent dataset?

Published on 25 Mar 2026 - 14:46

score 54 · Answer 8 · 2026-03-29 09:10:13

54

Views

How to interpret $P(z|x, y; k)$ with examples?

Published on 29 Mar 2026 - 9:10

score 160 · Answer 9 · 2022-10-20 09:03:37

160

Views

Why in (stochastic) gradient descent the gradient vector (including length) is considered instead of just its direction?

Published on 20 Oct 2022 - 9:03

score 52 · Answer 10 · 2026-03-27 19:31:40

52

Views

Do linear and group invariant functions allowed to go inside integral operators?

Published on 27 Mar 2026 - 19:31

score 18 · Answer 11 · 2026-04-07 16:47:50

18

Views

How data goes to the other side in maximum likelihood estimation

Published on 07 Apr 2026 - 16:47

score 41 · Answer 12 · 2026-04-10 13:17:05

41

Views

For a Bayes classifier, can we prove that adding noise to data does not increase its accuracy?

Published on 10 Apr 2026 - 13:17

score 395 · Answer 13 · 2026-03-25 17:35:30

395

Views

Machine Learning over Finite Fields

Published on 25 Mar 2026 - 17:35

score 71 · Answer 14 · 2026-04-10 07:24:00

71

Views

Graphical Lasso optimization

Published on 10 Apr 2026 - 7:24

score 36 · Answer 15 · 2026-04-11 21:10:16

36

Views

How should I normalize the grade of a movie by users ( y)?

Published on 11 Apr 2026 - 21:10

List Question

How to give a high-probability uniform estimation of a potential having access to noisy pointwise estimates of the associated vector field?

Any resources such as books, short courses, sites or other that I could avail myself of to improve my ability to model word problems as equations?

Proving a function is non-convex through contradiction

Why can a similarity matrix be used instead of a Laplace matrix when using spectral clustering methods?

Let $A$ be a vector and $B$ an $n \times n$ matrix. What does it mean to do $(A^T)BA$?

Verbal Interpretation of this Integral (Kernels for Statistical ML Theory)

How much datapoints must be in a subset of a dataset before the subset is representative of that parent dataset?

How to interpret $P(z|x, y; k)$ with examples?

Why in (stochastic) gradient descent the gradient vector (including length) is considered instead of just its direction?

Do linear and group invariant functions allowed to go inside integral operators?

How data goes to the other side in maximum likelihood estimation

For a Bayes classifier, can we prove that adding noise to data does not increase its accuracy?

Machine Learning over Finite Fields

Graphical Lasso optimization

How should I normalize the grade of a movie by users ( y)?

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