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Apr 13, 2017 at 2:33 comment added Nolan @RodrigodeAzevedo Hi, could you help me with another question on the website mathoverflow.net/questions/266998/…
Apr 1, 2017 at 9:08 comment added Federico Poloni Small remark that is probably not relevant: if $C$ is invertible, this problem suddenly becomes a lot simpler...
Apr 1, 2017 at 4:45 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Mar 2, 2017 at 10:01 review Close votes
Mar 2, 2017 at 12:30
Mar 2, 2017 at 4:44 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Jan 31, 2017 at 4:19 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
S Jan 1, 2017 at 3:48 history suggested Rodrigo de Azevedo CC BY-SA 3.0
The OP wrote a misleading title. This has nothing to do with Kullback Leibler
Jan 1, 2017 at 2:41 review Suggested edits
S Jan 1, 2017 at 3:48
Dec 31, 2016 at 15:36 review Suggested edits
Dec 31, 2016 at 16:12
S Dec 31, 2016 at 15:28 history suggested Rodrigo de Azevedo CC BY-SA 3.0
Clarified the question based on information provided by the OP in the comments
Dec 31, 2016 at 15:26 answer added Rodrigo de Azevedo timeline score: 1
Dec 31, 2016 at 15:11 review Suggested edits
S Dec 31, 2016 at 15:28
Dec 31, 2016 at 15:08 comment added Nolan Sorry, I have changed it. Constraint 3 means that each term in the matrix is in the value of 1.
Dec 31, 2016 at 15:07 history edited Nolan CC BY-SA 3.0
edited body
Dec 31, 2016 at 15:06 comment added Nolan l1-norm or frobenius norm are both OK for my problem.
Dec 31, 2016 at 15:04 history edited Nolan CC BY-SA 3.0
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Dec 31, 2016 at 14:59 comment added Nolan @RodrigodeAzevedo KL divergence in matrix can be just replaced by norm($Γ-Γ_1$)
S Dec 31, 2016 at 10:47 history edited Dima Pasechnik CC BY-SA 3.0
minor edits
S Dec 31, 2016 at 10:47 history suggested Rodrigo de Azevedo CC BY-SA 3.0
minor edits
Dec 31, 2016 at 10:34 comment added Rodrigo de Azevedo How is the KL divergence defined when the inputs are matrices, rather than distributions?
Dec 31, 2016 at 10:34 review Suggested edits
S Dec 31, 2016 at 10:47
Dec 31, 2016 at 9:20 history edited Nolan CC BY-SA 3.0
added 1 character in body
Dec 31, 2016 at 8:37 history edited Nolan CC BY-SA 3.0
added 2 characters in body
Dec 29, 2016 at 8:50 review First posts
Dec 29, 2016 at 9:08
Dec 29, 2016 at 8:41 history asked Nolan CC BY-SA 3.0