Call for Contributions ============================ NIPS 2013 Workshop on Perturbations, Optimization, and Statistics December 9 or 10 (TBD), 2012 at Lake Tahoe, Nevada, U.S.A. Web Site: http://www.cs.toronto.edu/~dtarlow/pos13/ Submission Deadline: October 9, 2013 ============================
== Overview == In nearly all machine learning tasks, decisions must be made given current knowledge (e.g., choose which label to predict). Perhaps surprisingly, always making the best decision is not always the best strategy, particularly while learning. Recently, there is an emerging body of work on learning under different rules that apply perturbations to the decision procedure. These works provide simple and efficient learning rules with improved theoretical guarantees. Last year, at the NIPS 2012 workshop, we looked at how injecting perturbations (whether it be random or adversarial “noise”) into learning and inference procedures can be beneficial. The goal of this workshop is to expand the scope of last year and also explore different ways to apply perturbations within optimization and statistics to enhance and improve machine learning approaches. This year, we will (a) look at exciting new developments related to the above core themes, and (b) emphasize their implications on topics that received less coverage last year, specifically highlighting connections to decision theory, risk analysis, game theory, and economics. This workshop will bring together the growing community of researchers interested in different aspects of this area, and it will broaden our understanding of why and how perturbation methods can be useful. == Call for Papers == In addition to a program of invited presentations, we solicit contribution of short papers that explore perturbation-based methods in the context of topics such as: statistical modeling, sampling, inference, estimation, theory, robust optimization, robust learning. We are interested in both theoretical and application-oriented works. We also welcome papers that explore connections between alternative ways of using perturbations. Contributed papers should adhere to the NIPS format<http://nips.cc/PaperInformation/StyleFiles> and are encouraged to be up to four pages long (without counting the list of references). Paperssubmitted for review do not need to be anonymized. There will be no official proceedings. Thus, apart from papers reporting novel unpublished work, we also welcome submissions describing work in progress or summarizing a longer paper under review for a journal or conference (this should be clearly stated though). Accepted papers will be presented as posters; some may also be selected for spotlight talks. Please submit papers in PDF format by email to posnips2...@gmail.com. The submission deadline is October 9, 2013 and notifications of acceptance will be sent by October 23, 2013. At least one of the authors must be attending the workshop to present the work. == Confirmed Invited Speakers == Moshe Ben-Akiva (MIT), Stefano Ermon (Cornell), Elad Hazan (Technion), Tommi Jaakkola (MIT), David McAllester (TTI-Chicago), Andrea Montanari (Stanford), Karthik Sridharan (UPenn). == Organizers == Tamir Hazan (University of Haifa), George Papandreou (UCLA/TTI-Chicago), Alexander Rakhlin (UPenn), Danny Tarlow (MSR Cambridge).
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