On page 16 (around 38minutes): "The probability is non convex". I think the important thing is that the problem is non convex on Mu and sigma. It is true that P(x) is non-convex but this wouldn't be a problem if it was convex on mu/sigma while non convex on X. I got a little confused by the image that shows the mixture is non convex on the x axis and wanted to clarify if anyone also finds useful :) (and hope it makes sense)
very high quality and amazing lectures, thank you Prof!
Terrific Lectures ... just bang on the target .. addresses all the issues which are a bit tricky to understand .. Amazin !.. Thanks a ton
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On page 16 (around 38minutes):
"The probability is non convex". I think the important thing is that the problem is non convex on Mu and sigma. It is true that P(x) is non-convex but this wouldn't be a problem if it was convex on mu/sigma while non convex on X.
I got a little confused by the image that shows the mixture is non convex on the x axis and wanted to clarify if anyone also finds useful :) (and hope it makes sense)