Question

Why is the KL Divergence between contracted $Bin(N,\theta)$ and $Bernoulli(\lambda)$ convex function in $\lambda$?

score 68 · Answer 1 · 2023-05-05 23:23:16

68

Views

Why is the KL Divergence between contracted $Bin(N,\theta)$ and $Bernoulli(\lambda)$ convex function in $\lambda$?

Published on 05 May 2023 - 23:23

score 50 · Answer 2 · 2023-05-07 12:53:01

50

Views

Under which circumstances are the Jensen Shannon Divergence JSD and dot product equivalent?

Published on 07 May 2023 - 12:53

score 132 · Answer 3 · 2026-03-26 17:33:15

132

Views

I am stuck in the evaluation of closed form solution to find $\theta$, why $(X^{T}X)^{-1}X^{T}Y$ is used and not $(XX^{T})$?

Published on 26 Mar 2026 - 17:33

score 25 · Answer 4 · 2023-05-08 00:17:10

25

Views

Compute gradient in $k$-means

Published on 08 May 2023 - 0:17

score 88 · Answer 5 · 2023-05-08 21:40:37

88

Views

Is $\max \left (\frac{2}{\Vert w \Vert} \right )$ the same as $\min(\Vert w \Vert)$?

Published on 08 May 2023 - 21:40

score 37 · Answer 6 · 2023-05-08 22:24:38

37

Views

Proving a "quasi-concentration" inequality via covering numbers

Published on 08 May 2023 - 22:24

score 153 · Answer 7 · 2023-05-10 04:24:08

153

Views

The eigenvalues of $D^{-1} A $ for $A$ an adjacency matrix of a simple graph with no isolated vertices, and $D$ its degree matrix.

Published on 10 May 2023 - 4:24

score 96 · Answer 8 · 2026-03-25 14:20:07

96

Views

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Published on 25 Mar 2026 - 14:20

score 187 · Answer 9 · 2026-04-01 22:09:14

187

Views

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score 34 · Answer 10 · 2026-03-30 23:14:24

34

Views

Continuity of Mean Function Slope in Gaussian Process Regression with RBF and Exponential Kernels

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score 24 · Answer 11 · 2026-03-25 09:49:26

24

Views

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Published on 25 Mar 2026 - 9:49

score 73 · Answer 12 · 2023-05-16 17:33:46

73

Views

Show that $f \left( \boldsymbol{x} \right) = -\sqrt[^n]{ {x}_{1} {x}_{2} \ldots {x}_{n} }$ is a convex function , for positive x

Published on 16 May 2023 - 17:33

score 49 · Answer 13 · 2026-03-25 09:22:06

49

Views

Machine learning with algebraic information

Published on 25 Mar 2026 - 9:22

score 98 · Answer 14 · 2026-03-25 09:33:14

98

Views

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score 60 · Answer 15 · 2023-05-19 08:53:30

60

Views

How to prove the convergence of an RL algorithm similar to Q-learning

Published on 19 May 2023 - 8:53

List Question

Why is the KL Divergence between contracted $Bin(N,\theta)$ and $Bernoulli(\lambda)$ convex function in $\lambda$?

Under which circumstances are the Jensen Shannon Divergence JSD and dot product equivalent?

I am stuck in the evaluation of closed form solution to find $\theta$, why $(X^{T}X)^{-1}X^{T}Y$ is used and not $(XX^{T})$?

Compute gradient in $k$-means

Is $\max \left (\frac{2}{\Vert w \Vert} \right )$ the same as $\min(\Vert w \Vert)$?

Proving a "quasi-concentration" inequality via covering numbers

The eigenvalues of $D^{-1} A $ for $A$ an adjacency matrix of a simple graph with no isolated vertices, and $D$ its degree matrix.

Consequence of Dvoretzky Stochastic Approximation Theorem

An upper bound of the sum of factorial in Vapnik and Chervonenkis, 1971

Continuity of Mean Function Slope in Gaussian Process Regression with RBF and Exponential Kernels

FTT Features to use after time-domain is transformed to frequency-domain

Show that $f \left( \boldsymbol{x} \right) = -\sqrt[^n]{ {x}_{1} {x}_{2} \ldots {x}_{n} }$ is a convex function , for positive x

Machine learning with algebraic information

Using topological data analysis to analyze a graph

How to prove the convergence of an RL algorithm similar to Q-learning

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