Sciweavers

298 search results - page 5 / 60
» Approximate Inference and Constrained Optimization
Sort
View
ORL
2008
124views more  ORL 2008»
13 years 7 months ago
Sample average approximation of expected value constrained stochastic programs
We propose a sample average approximation (SAA) method for stochastic programming problems involving an expected value constraint. Such problems arise, for example, in portfolio s...
Wei Wang, Shabbir Ahmed
AUTOMATICA
2007
179views more  AUTOMATICA 2007»
13 years 7 months ago
Approximate bisimulation relations for constrained linear systems
In this paper, we define the notion of approximate bisimulation relation between two continuous systems. While exact bisimulation requires that the observations of two systems ar...
Antoine Girard, George J. Pappas
ICML
2010
IEEE
13 years 8 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
ICML
2009
IEEE
14 years 2 months ago
Split variational inference
We propose a deterministic method to evaluate the integral of a positive function based on soft-binning functions that smoothly cut the integral into smaller integrals that are ea...
Guillaume Bouchard, Onno Zoeter
UAI
2004
13 years 9 months ago
Graph Partition Strategies for Generalized Mean Field Inference
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
Eric P. Xing, Michael I. Jordan