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kullback-leibler divergence

181 papers

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Also known as

KL KL-DIVERGENCE KLD KL DIVERGENCE

Co-occurring keywords

variational inference (2069) kl divergence (196) generative model (2892) bayesian inference (1907) posterior distribution (259) probabilistic modeling (852) neural network (6616) knowledge distillation (3725) mutual information (724) variational autoencoder (1288)

Papers

Kullback-Leibler Proximal Variational Inference NIPS 2015
Bounding errors of Expectation-Propagation NIPS 2015
Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015
Neural Adaptive Sequential Monte Carlo NIPS 2015
Tree-structured Gaussian Process Approximations NIPS 2014
Nonlinear Graph Sparsification for SLAM RSS 2014
Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013
Integrated Non-Factorized Variational Inference NIPS 2013
Gaussian Kullback-Leibler Approximate Inference JMLR 2013
Approximation properties of DBNs with binary hidden units and real-valued visible units ICML 2013
Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NIPS 2012
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Affine Independent Variational Inference NIPS 2012
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NIPS 2012
A Note on Metric Properties for Some Divergence Measures: The Gaussian Case ACML 2012
Learning from the Wisdom of Crowds by Minimax Entropy NIPS 2012
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences COLT 2011
Expressive Power and Approximation Errors of Restricted Boltzmann Machines NIPS 2011
Semi-Supervised Learning with Measure Propagation JMLR 2011
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NIPS 2009
Estimation of Information Theoretic Measures for Continuous Random Variables NIPS 2008
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007