I only managed to make it out to the NIPS workshops this year so
\nI’ll give my comments on what I saw there. <\/p>\n
The Learing and Robotics workshops lives again. I hope it
\ncontinues and gets more high quality papers in the future. The
\nmost interesting talk for me was Larry Jackel’s on the LAGR
\nprogram (see John’s previous post on said program). I got some
\nideas as to what progress has been made. Larry really explained
\nthe types of benchmarks and the tradeoffs that had to be made to
\nmake the goals achievable but challenging. <\/p>\n
Hal Daume gave a very interesting talk about structured
\nprediction using RL techniques, something near and dear to my own
\nheart. He achieved rather impressive results using only a very
\ngreedy search.<\/p>\n
The non-parametric Bayes workshop was great. I enjoyed the entire
\nmorning session I spent there, and particularly (the usually
\ndesultory) discussion periods. One interesting topic was the
\nGibbs\/Variational inference divide. I won’t try to summarize
\nespecially as no conclusion was reached. It was interesting to
\nnote that samplers are competitive with the variational
\napproaches for many Dirichlet process problems. One open question
\nI left with was whether the fast variants of Gibbs sampling could
\nbe made multi-processor as the naive variants can.<\/p>\n
I also have a reading list of sorts from the main
\nconference. Most of the papers mentioned in previous posts on
\nNIPS are on that list as well as these: (in no particular order)<\/p>\n
The Information-Form Data Association Filter
\nSebastian Thrun, Brad Schumitsch, Gary Bradski, Kunle Olukotun
\n[ps.gz][pdf][bibtex]<\/p>\n
Divergences, surrogate loss functions and experimental design
\nXuanLong Nguyen, Martin Wainwright, Michael Jordan [ps.gz][pdf][bibtex]<\/p>\n
Generalization to Unseen Cases
\nTeemu Roos, Peter Gr\u00c3\u0192\u00c2\u00bcnwald, Petri Myllym\u00c3\u0192\u00c2\u00a4ki, Henry Tirri [ps.gz][pdf][bibtex]<\/p>\n
Gaussian Process Dynamical Models
\nDavid Fleet, Jack Wang, Aaron Hertzmann [ps.gz][pdf][bibtex]<\/p>\n
Convex Neural Networks
\nYoshua Bengio, Nicolas Le Roux, Pascal Vincent, Olivier Delalleau,
\nPatrice Marcotte [ps.gz][pdf][bibtex]<\/p>\n
Describing Visual Scenes using Transformed Dirichlet Processes
\nErik Sudderth, Antonio Torralba, William Freeman, Alan Willsky
\n[ps.gz][pdf][bibtex]<\/p>\n
Learning vehicular dynamics, with application to modeling helicopters
\nPieter Abbeel, Varun Ganapathi, Andrew Ng [ps.gz][pdf][bibtex]<\/p>\n
Tensor Subspace Analysis
\nXiaofei He, Deng Cai, Partha Niyogi [ps.gz][pdf][bibtex]<\/p>\n","protected":false},"excerpt":{"rendered":"
I only managed to make it out to the NIPS workshops this year so I’ll give my comments on what I saw there. <\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-155","post","type-post","status-publish","format-standard","hentry","category-general"],"_links":{"self":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/155","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=155"}],"version-history":[{"count":0,"href":"https:\/\/hunch.net\/index.php?rest_route=\/wp\/v2\/posts\/155\/revisions"}],"wp:attachment":[{"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=155"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=155"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hunch.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=155"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}