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1

1

$begingroup$

I was reading about different distribution distance - and came across Kullback-Leibler divergence, Jensen-Shannon divergence, MMD, and Wasserstein distance - the book was too abstract for me to absorb. What are the differences between them, actually?

machine-learning deep-learning probability autoencoder

share|improve this question

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  Do you care about those four distances specifically or are you asking about distances in general and why there are multiple?
  $endgroup$
  – Alex L
  Mar 17 at 3:37
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I care about the four distances specifically
  $endgroup$
  – asahi kibou
  Mar 17 at 10:00
  

  
  
  
  

add a comment | 

1

1

$begingroup$

I was reading about different distribution distance - and came across Kullback-Leibler divergence, Jensen-Shannon divergence, MMD, and Wasserstein distance - the book was too abstract for me to absorb. What are the differences between them, actually?

machine-learning deep-learning probability autoencoder

share|improve this question

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  Do you care about those four distances specifically or are you asking about distances in general and why there are multiple?
  $endgroup$
  – Alex L
  Mar 17 at 3:37
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I care about the four distances specifically
  $endgroup$
  – asahi kibou
  Mar 17 at 10:00
  

  
  
  
  

add a comment | 

$begingroup$

I was reading about different distribution distance - and came across Kullback-Leibler divergence, Jensen-Shannon divergence, MMD, and Wasserstein distance - the book was too abstract for me to absorb. What are the differences between them, actually?

machine-learning deep-learning probability autoencoder

share|improve this question

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this question

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked Mar 17 at 0:21

asahi kibouasahi kibou

311

New contributor

asahi kibou is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked Mar 17 at 0:21

asahi kibouasahi kibou

311