I went to (most of) the NIPS 2011 talks today (my first day at NIPS). Unlike the AAS meetings, the talks are very highly vetted (getting a talk at NIPS is harder—statistically speaking—than getting a prize fellowship in astronomy) and there are no parallel sessions, even though the meeting is almost as large as the AAS (NIPS is 1400; AAS winter is 2000-ish). One standout talk was by Laurent on the strange encoding of olfactory information in insects (and, apparently, humans, which are similar in this respect). There is a part of the olfactory system that looks like a sparse coding of the input, which looks (to my eyes) to be a very inefficient use of neurons. Another was by Feldman on coresets
, which are data subsamples (imagine that you have way too many data points to fit in RAM) plus associated weights, chosen such that the weighted sum of log-likelihoods of the coreset points is an epsilon-close approximation to the full-data log-likelihood (or other additive objective function). This concept could be useful for astrophysics; it reminds me of my projects with Tsalmantza on archetypes.
On the bus to Sierra Nevada in the afternoon, Marshall and I tried to scope out our next
paper. I put that in quotation marks because we don't have a very good track record of finishing projects! We are going to do something that involves image modeling and approximations thereto that can be performed on catalog (database) quantities.
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