Thursday, January 3rd, 2013


Having seen a talk recently by John Ioannidis on how medical research is (often) bunk, this finer corrective by Larry Wasserman was nice to read.

Computer science conferences are often not organized by the ACM, but instead there are different foundations for machine learning and vision and so on that basically exist to organize the annual conference(s). At least, that is what I understand. There are a few which are run by the ACM, and there’s often debate about whether or not the ACM affiliation is worth it, given the overheads and so on. Boaz Barak had a post a little over a week ago making the case for sticking with the ACM. Given the hegemonic control of the IEEE on all things EE (more or less), this debate is new to me. As far as I can tell, ISIT exists to cover some of the cost of publishing the IT Transactions, and so it sort of has to be run by IEEE.

As mentioned before, Tara Javidi has a nice post up on what it means for one random variable to be stochastically less variable than another.

Paul Miniero has a bigger picture view of NIPS — I saw there were lots of papers on “deep learning” but it’s not really my area so I missed many of those posters.

David Eppstein’s top 10 cs.DS papers from 2012.

Via Tara Javidi I heard about a new blog on information theory: the Information Theory b-log, which has been going for a few months now but I guess in more “stealth mode.” It’s mostly posts by Sergio Verdú, with some initial posting by Thomas Courtade, but the most recent post is by Tara on how to compare random variables from a decision point of view. However, as Max noted:

All researchers work­ing on infor­ma­tion the­ory are invited to par­tic­i­pate by post­ing items to the blog. Both orig­i­nal mate­r­ial and point­ers to the web are welcome.

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