Bayesian Nonparametric Models (BNPM) For Reliable Planning And Decision-Making Under Uncertainty

NIPS 2012


The purpose of this workshop is to provide a mechanism for the statistical machine learning and autonomous decision-making communities to discuss recent results in BNPM and inference techniques with the goal of investigating how the BNPMs can be used to improve the reliability and performance of autonomous planning and decision making systems in a data-rich world.  This will be accomplished by bringing together leading experts and practicing engineers in both fields.  The workshop will present a mix of invited sessions, contributed talks, poster session by leading experts and active researchers in BNPMs, robotics, and decision making and planning. Furthermore, the workshop schedule is designed to allow for plenty of mingle time and question time that is expected to be conducive to merging of ideas and initiating collaborations.



Authors are encouraged to submit their related work to the workshop by 18th of October 11:59 PM EST in NIPS style with 2-4 pages with maximum of 8 pages through email with the subject “BNPM Workshop Submission” to either of the following contacts:

Jonathan How <jhow at mit dot edu>

Alborz Geramifard <agf at mit dot edu>

Authors of the selected papers will be notified to present their work through short presentations or posters.