ut this
shouldn't be hard.
And currently I don't think any further constraints to the SDP class are needed.
Best Regards
Daniel Li
From: Ryan Curtin <r...@ratml.org>
Sent: 04 April 2018 20:53:52
To: LI Xuran
Cc: mlpack@lists.mlpack.org
Subject: Re: [mlpack]
On Wed, Apr 04, 2018 at 10:01:11AM +, LI Xuran wrote:
> Hey Ryan,
>
> Sorry for the ambiguity. Basically what I did was just a shortlist of
> the major past topics related to LRSDP on Github. I didn't realise
> that the sparse and dense constraint is already implemented, which is
> great.
>
>
Curtin <r...@ratml.org>
Sent: 02 April 2018 16:18:17
To: LI Xuran
Cc: mlpack@lists.mlpack.org
Subject: Re: [mlpack] MVU Bug Fix GSOC
On Mon, Mar 26, 2018 at 08:23:20PM +, LI Xuran wrote:
> >I took a quick look at your proposal and I think it is relatively clear
> >and sufficient
On Mon, Mar 26, 2018 at 08:23:20PM +, LI Xuran wrote:
> >I took a quick look at your proposal and I think it is relatively clear
> >and sufficiently detailed. I am not clear on exactly what you mean by
> >"5. it might also be useful to write an algorithm to pre-process the
> >dataset to make
Hi Ryan,
>I took a quick look at your proposal and I think it is relatively clear
>and sufficiently detailed. I am not clear on exactly what you mean by
>"5. it might also be useful to write an algorithm to pre-process the
>dataset to make it smoother and convex"---note that the LRSDP
On Thu, Mar 22, 2018 at 08:47:58PM +, LI Xuran wrote:
> Hi Ryan,
>
> Thanks a lot for your kind advice. As you suggested, I've added
> details to my new ideas and integrated them into my proposal. I 've
> submitted a draft proposal to GSoC website just now, to detail my
> current plan on MVU
Hi Ryan,
Thanks a lot for the advice and sorry for late reply. I spent the past two days
to went through most of the papers and it really helps. Apart from the previous
idea:
1.generate random simple dataset, and compare normal MVU using mlpack Primal
dualsolver on it. compare it with the
On Sun, Mar 18, 2018 at 08:15:57PM +, LI Xuran wrote:
> Dear Ryan,
>
>
> I am currently working on my proposal for the Fixes to MVU and low-rank
> semidefinite programs and have come up with the following ideas:
> 1.generate random simple dataset, and compare normal MVU with MVU +LRSDP on
Dear Ryan,
I am currently working on my proposal for the Fixes to MVU and low-rank
semidefinite programs and have come up with the following ideas:
1.generate random simple dataset, and compare normal MVU with MVU +LRSDP on it.
do visualization of the procedure and the result in 2d/3d.
2.
Hello Ryan,
I am Daniel Li, a second-year student studying Artificial in the University of
Edinburgh. I write fluent c++ code and is interested in taking up the quest to
fix bugs regarding MVU and semidefinite programming in mlpack. I've read about
scalable semidefinite manifold learning and
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