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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

Intervening on Network Ties UAI 2019
Variational Bayes under Model Misspecification NIPS 2019
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019
Learning to Generalize from Sparse and Underspecified Rewards ICML 2019
Regularizing Neural Machine Translation by Target-Bidirectional Agreement AAAI 2019
Parameterized hardness of active inference PGM 2018
Legendre Decomposition for Tensors NIPS 2018
Calibrating Noise to Variance in Adaptive Data Analysis COLT 2018
On Learning Markov Chains NIPS 2018
An explicit analysis of the entropic penalty in linear programming COLT 2018
Convergence of Langevin MCMC in KL-divergence ALT 2018
Generative Bridging Network for Neural Sequence Prediction NAACL 2018
Spherical Latent Spaces for Stable Variational Autoencoders EMNLP 2018
Composite Functional Gradient Learning of Generative Adversarial Models ICML 2018
Stein Variational Gradient Descent as Gradient Flow NIPS 2017
On the Linguistic Relevance of Speech Units Learned by Unsupervised Acoustic Modeling INTERSPEECH 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Dual Discriminator Generative Adversarial Nets NIPS 2017
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms NIPS 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm NIPS 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
GMM-Free Flat Start Sequence-Discriminative DNN Training INTERSPEECH 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo NIPS 2016