Thanks for trying to make some time :)
On 03/06/2015 03:42 AM, Arnaud Joly wrote:
Hi,
Sadly this year, I won’t have time for mentoring.
However, I will try to find some spare time for reviewing!
Best regards,
Arnaud
On 05 Mar 2015, at 22:43, Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Hi Wei Xue.
Thanks for your interest.
For the GMM project being familiar with DPGMM and VB should be enough.
We don't want to use Gibbs sampling in the DP. If you feel
comfortable implementing
a given derivation and have some understanding, that should be fine.
For hyper-parameter optimization, the idea would be to implement our
own version based on
our tree implementation (which is actually also done in spearmint) or
using the new GP.
HTH,
Andreas
On 03/05/2015 04:32 PM, Wei Xue wrote:
Hi, all
I am a graduate student studying machine learning, and will probably
apply GSOC project this year. I just took a loot at the wiki, and
found two interesting topics for me.
* Improve GMM
* Global optimization based Hyper-parameter optimization
For the GMM topic, I studied DP years ago, and implemented a toy
DPGMM using Gibbs sampling on Matlab. I am also familiar with VB. My
question is that does gsoc projects require students fully
understand the theory of DP?
For the hyper-parameter optimization topic, since there are already
two python packages /spearmint/ and /Hyperopt, /the goal of this
topic is to implement our own modules or to build interfaces for
other packages?
Thanks,
Wei Xue
2015-03-05 14:25 GMT-05:00 Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>>:
Thanks for volunteering to assist, I updated the wiki
accordingly :)
On 03/05/2015 01:21 PM, Michael Eickenberg wrote:
I unfortunately cannot lead any gsoc project this year, but can
help out with code review and mentoring if sb else takes the
lead. The two projects I can be of use for are CCA/PLS
rethinking and additive models.
Michael
On Thursday, March 5, 2015, Andreas Mueller <t3k...@gmail.com
<mailto:t3k...@gmail.com>> wrote:
Can all would-be mentors please register on Melange?
The list of possible mentors lists Arnaud, probably a C&P
from last year.
Arnaud, are you up for mentoring again? Otherwise I'll
remove you from
the list.
Then we'd currently have
Gaël Varoquaux (not sure if you have time?), Vlad Niculae,
Olivier
Grisel,Alexandre Gramfort, Michael Eickenberg
and me.
Any other volunteers?
On 02/24/2015 09:48 AM, Andy wrote:
> Hey Everybody.
>
> Here is my somewhat consolidated list of ideas with minor
comments.
> If anything is missing, please let me know. Also, I don't
think people
> who want to mentor spoke up yet.
> I'll remove all people listed on the wiki as they were
copy and pasted
> from last year, and I'd rather have actual confirmation.
>
> Topics:
> DPGMM / VBGMM: need to be reimplemented using more standard
> variational updates. The GMM is actually fine atm (after
a couple of
> pending PRs)
>
> spearmint : Using random forest (they actually use ours) for
> hyperparameter optimization. I need to mull this over but
I think this
> should be easy enough and pretty helpful.
>
> Online low-rank matrix completion : this is from last
year and I'm not
> sure if it is still desirable / don't know the state of
the PR
>
> Multiple metric support : This is somewhat API heavy but
I think
>
> PLS/CCA : They need love so very much, but I'm not sure
we have a
> mentor (if there is one, please speak up!):q
>
> Ensemble Clusters : Proposed by a possible student
(Milton) but I
> think it is interesting.
>
> Semi-Supervised Learning : Meta-estimator for self-taught
learning.
> Not sure if there is actually much demand for it, but
would be nice.
>
> Additive models: Proposed by ragv, but I'm actually not
that sold. We
> could include pyearth, but I'm not sure how valuable the
other methods
> are. Including a significant amount of algorithms just for
> completeness is not something I feel great about.
>
>
> That being said, ragv has put in a tremendous amount of
great work and
> I feel we should definitely find a project for him (as he
seems
> interested).
>
>
> Things that I think shouldn't be GSOC projects:
>
> GPs : Jan Hendrik is doing an awesome job there.
> MLP : Will be finished soon, either by me or possibly by ragv
> data-independent cross-validation : already a bunch of
people working
> on that, I don't think we should make it GSOC.
>
> Feedback welcome.
>
> Andy
>
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