importance sampling

Weighted importance sampling for off-policy learning with linear function approximation NeurIPS 2014 A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning ICML 2013 Dynamic Scaled Sampling for Deterministic Constraints AISTATS 2013 Efficient Large-Scale Structured Learning CVPR 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Learning Stochastic Feedforward Neural Networks NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NeurIPS 2013 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 A Model for Temporal Dependencies in Event Streams NeurIPS 2011 Cross-Entropy Randomized Motion Planning RSS 2011 Importance Sampling for Continuous Time Bayesian Networks JMLR 2010 On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 Sequential Monte Carlo Samplers for Dirichlet Process Mixtures AISTATS 2010 A Stochastic approximation method for inference in probabilistic graphical models NeurIPS 2009 Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling NeurIPS 2009 Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods NeurIPS 2007 Analysis of Contour Motions NeurIPS 2006 Inferring Network Structure from Co-Occurrences NeurIPS 2006