kullback-leibler divergence

Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018 Using relative entropy for detection and analysis of periods of diachronic linguistic change COLING 2018 Variational Network Quantization ICLR 2018 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017 Discovering Language in Marmoset Vocalization Interspeech 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Performance Bounds for Graphical Record Linkage AISTATS 2017 A KL Divergence and DNN-Based Approach to Voice Conversion without Parallel Training Sentences Interspeech 2016 Dysarthric Speech Recognition Using Kullback-Leibler Divergence-Based Hidden Markov Model Interspeech 2016 Marginal Contrast Among Romanian Vowels: Evidence from ASR and Functional Load Interspeech 2016 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016 PAC-Bayesian Bounds based on the Rényi Divergence AISTATS 2016 Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 Bounding errors of Expectation-Propagation NeurIPS 2015 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing ICML 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015 Semantics-Preserving Hashing for Cross-View Retrieval CVPR 2015 Strong Consistency of the Prototype Based Clustering in Probabilistic Space JMLR 2015 Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Nonlinear Graph Sparsification for SLAM RSS 2014 Probabilistic low-rank matrix completion on finite alphabets NeurIPS 2014