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> 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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