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University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > Data Structures for Efficient Inference and Optimization in Expressive Continuous Domains
Data Structures for Efficient Inference and Optimization in Expressive Continuous DomainsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins. This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending This talk is in two parts. In the first part, I introduce an extension of the algebraic decision diagram (ADD) to continuous variables—termed the extended ADD (XADD)—to represent arbitrary piecewise functions (nb, arbitrary pieces, not just hyper-rectangular) over discrete and continuous variables and show how to define and efficiently compute elementary arithmetic operations, integrals, and maximization for various restrictions of these functions. In the second part, I cover a wide range of novel applications where the XADD may be applied: (a) exact inference in expressive discrete and continuous variable graphical models, (b) factored, parameterized linear and quadratic optimization (a generalization of LP and QP solving), and© exact solutions to continuous state, action, and observation sequential decision-making problems. This is joint work with Zahra Zamani & Ehsan Abbasnejad (Australian National University), Karina Valdivia Delgado & Leliane Nunes de Barros (University of Sao Paulo), and Simon Fang (M.I.T.). This talk is part of the Microsoft Research Cambridge, public talks series. This talk is included in these lists:
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