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COLT
2006
Springer
15 years 1 months ago
Unifying Divergence Minimization and Statistical Inference Via Convex Duality
Abstract. In this paper we unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate max...
Yasemin Altun, Alexander J. Smola
CDC
2009
IEEE
379views Control Systems» more  CDC 2009»
15 years 1 months ago
Receding horizon cost optimization for overly constrained nonlinear plants
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
David Angeli, Rishi Amrit, James B. Rawlings
IJCAI
2007
14 years 11 months ago
Forward Search Value Iteration for POMDPs
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods which quickly converge to an approximate solution for medium-sized problems...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
IMAMS
2007
108views Mathematics» more  IMAMS 2007»
14 years 11 months ago
Scattered Data Fitting on Surfaces Using Projected Powell-Sabin Splines
We present C1 methods for either interpolating data or for fitting scattered data associated with a smooth function on a two-dimensional smooth manifold Ω embedded into R3 . The ...
Oleg Davydov, Larry L. Schumaker
NIPS
2007
14 years 11 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht