Action items from the last call

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Michael Wong

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Jan 15, 2019, 10:51:13 AM1/15/19
to SG19 - Machine Learning
Hi all, I wanted to see if people might want to write 2 papers for the Jan 21 10 ET mailing deadline based on the discussion from last Friday's call:
1. A paper to give feedback to Linear Algebra from  the ML point of view. This can be takign Mathieu's slides and the discussion on this reflector and writing it in a google doc. I can help with this.
2. A paper to start giving prioriitization to various ML features. I can start this. Any one would want to help?

Any other possible suggestion for papers and request for collaborations?
Thanks.

Vincent Reverdy

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Jan 15, 2019, 11:22:17 AM1/15/19
to Michael Wong, SG19 - Machine Learning
Hi Michael,

I can help with n°2. I am also planning to start a specific paper on trees and graphs (not sure I'll be able to make the deadline yet, but I'll try).

Best,
Vincent



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Vincent Reverdy
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Ritwik Dubey

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Jan 15, 2019, 11:25:00 AM1/15/19
to Vincent Reverdy, Michael Wong, SG19 - Machine Learning
If contributors for #2 can be >2 then count me in for it too. 

Ritwik



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Regards
Ritwik Dubey

Michael Wong

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Jan 15, 2019, 11:56:34 AM1/15/19
to SG19 - Machine Learning, vinc...@gmail.com, fragga...@gmail.com
Absolutely, there is no limit to the number of collaborators.
I also wanted to start us discussing the list so we think about if there are any dependency, while keeping in mind the man-power limitation we have:

Here is the paper. Feel free to add your names to it and edit it:

Michael Wong

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Jan 15, 2019, 12:01:00 PM1/15/19
to SG19 - Machine Learning, vinc...@gmail.com, fragga...@gmail.com
For item 1, is Mathieu Bucher interested in starting a google doc based on the slide deck so other people can help with the writing?
You can also just make a copy my google doc and edit it.
Thanks.

Michael Wong

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Jan 15, 2019, 12:02:22 PM1/15/19
to SG19 - Machine Learning, vinc...@gmail.com, fragga...@gmail.com
For graph, it people feel there is enough discussion to put out a summary and propose future directions, then we can also have a paper.

johan mabille

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Jan 15, 2019, 11:45:11 PM1/15/19
to Michael Wong, SG19 - Machine Learning, vinc...@gmail.com
Hi all,

I've started writing a paper for item 1, based on Mathieu Brucher's slides and our experience from Numpy and the design of xtensor. I'll share it once it is in an acceptable state (should be today or tomorrow).

Cheers,

Matthieu Brucher

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Jan 16, 2019, 6:14:20 AM1/16/19
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Thanks Johan, I was a little bit busy, I'll help with the document this week-end hopefully!

Michael Wong

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Jan 16, 2019, 10:05:45 AM1/16/19
to Matthieu Brucher, SG19 - Machine Learning, Vincent Reverdy
Thanks, I will help fix up the title and such as there is always a standard format on these papers.

doss...@cs.uregina.ca

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Jan 16, 2019, 11:09:13 AM1/16/19
to SG19 - Machine Learning
These documents are publicly open/available?

Michael Wong

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Jan 16, 2019, 11:40:44 AM1/16/19
to SG19 - Machine Learning, doss...@cs.uregina.ca
No, they are closed unless people have the link. But you should be able to edit it if you are subscribed to this group. If not, you can ask for permission through the doc:


Elsewhere on this reflector is a message with a clickable link as well.

Richard Dosselmann

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Jan 16, 2019, 8:41:59 PM1/16/19
to SG19 - Machine Learning
The documents look like they are starting off well. This is a great effort!

Michael Wong

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Jan 18, 2019, 9:26:02 AM1/18/19
to SG19 - Machine Learning
Thanks to all those who participated in the writing. Please feel free to add yourself as co-authors. For these kinds of documents, I don't feel we need to restrict to academic rules for co-authorship. The more the merrier (though listing your company affiliation is very optional, and only if you want to). there are also other levels such as contributor that you can add yourself. I won't enforce it or argue which way it should be.

Please continue to make updates. I will take a snapshot on Sunday night and send it out. There is a chance to still amke last minute submission on Monday morning at 10 Eastern time, but as I have about 10 papers to submit, I don't feel like risking missing one of them. I can always submit a revision before the deadline if there are changes.

Michael Wong

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Jan 20, 2019, 11:52:41 PM1/20/19
to SG19 - Machine Learning
Hi all, I have added the paper numbers for the 2 papers and will be cleaning it up tonight by adding references, and sending it in. Thanks all.

Richard Dosselmann

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Jan 21, 2019, 12:04:13 PM1/21/19
to SG19 - Machine Learning
Thanks for all of your great work. When are we next able to contribute to this? I am hoping that we can discuss more specific items, such as the interface of the graph and tree classes.

Michael Wong

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Jan 21, 2019, 2:25:27 PM1/21/19
to SG19 - Machine Learning
Thank you all. We will review these papers in the Kona F2F meeting, but will continue to iterate over it in the next scheduled telecon call before (Feb 8) and after (Mar 8) the Kona meeting. I suspect it will take several iterations, and the Layering document needs to be a live doc as we change and pivot.

Richard Dosselmann

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Jan 25, 2019, 12:16:06 PM1/25/19
to SG19 - Machine Learning
Should we still continue to edit the proposal documents? As well, is the change in Google Groups policy affecting this message group?

Michael Wong

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Jan 25, 2019, 12:35:16 PM1/25/19
to Richard Dosselmann, SG19 - Machine Learning
No, at this point the documents are frozen, or should be. We should make a copy for the next release, in preparation for the next issue of this document for the following C++ Standard meeting in  ... Cologne. These are live documents and will be updated as our thoughts change.

Here is the Layering document copied in to R1:
open for editing.

And the Linear Algebra feedback paper to R1

I have copied over the same access and kept the comments.
The documents are also now D docs for draft, which they are until they are VERY close to submission.

Now fee free to update. Thanks for the reminder, Richard.


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Vincent Reverdy

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Jan 25, 2019, 12:39:18 PM1/25/19
to Michael Wong, Richard Dosselmann, SG19 - Machine Learning
Note: I submitted a very preliminary document (just before the deadline) about trees and graphs, to keep track of the discussions and thoughts on this particular topic. I'll share it here as soon as I find time to post it on overleaf or google docs.

Michael Wong

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Jan 25, 2019, 12:40:13 PM1/25/19
to Richard Dosselmann, SG19 - Machine Learning
Finally, as you heard SG14 and std-proposal is just too popular with too many posts. Please see the trouble we have been having here:

This group is not yet in that space, having just started. But it could. So we should talk about whether we also wish to switch to the iso listserv in our next call. Thanks.

Richard Dosselmann

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Jan 30, 2019, 2:36:23 PM1/30/19
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It should be mentioned at Kona as well that trees could later be used to do XML parsing. An XML parser in the standard is a frequent request. Trees developed as part of ML could be used for that.
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