kl divergence

Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Fast Trust Region for Segmentation CVPR 2013 Message passing with l1 penalized KL minimization ICML 2013 That was fast! Speeding up NN search of high dimensional distributions. ICML 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012 Tight Bounds on Profile Redundancy and Distinguishability NeurIPS 2012 Bounds on Individual Risk for Log-loss Predictors COLT 2011 Semi-Supervised Learning with Measure Propagation JMLR 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Differentiable Sparse Coding NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Linearly-solvable Markov decision problems NeurIPS 2006