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kl divergence

195 papers

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Also known as

KULLBACK-LEIBLER KL

Co-occurring keywords

variational inference (2069) bayesian inference (1904) kullback-leibler divergence (179) language model (4573) variational autoencoder (1282) knowledge distillation (3680) large language model (12755) reinforcement learning (4122) markov chain monte carlo (724) mutual information (717)

Papers

On Learning Distributions from their Samples COLT 2015
Competitive Distribution Estimation: Why is Good-Turing Good NIPS 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation AISTATS 2015
Data modeling with the elliptical gamma distribution AISTATS 2015
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015
KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading CVPR 2015
Volumetric Bias in Segmentation and Reconstruction: Secrets and Solutions ICCV 2015
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Variational Planning for Graph-based MDPs NIPS 2013
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
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Bounds on Individual Risk for Log-loss Predictors COLT 2011
Semi-Supervised Learning with Measure Propagation JMLR 2011
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008
Differentiable Sparse Coding NIPS 2008
Efficient Principled Learning of Thin Junction Trees NIPS 2007