kl divergence

Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev NeurIPS 2020 Layer-Wise Multi-View Learning for Neural Machine Translation COLING 2020 Munchausen Reinforcement Learning NeurIPS 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Posterior Re-calibration for Imbalanced Datasets NeurIPS 2020 Semi-Supervised Learning for Video Captioning EMNLP 2020 Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering CVPR 2020 Variational Bayesian Unlearning NeurIPS 2020 What went wrong and when? Instance-wise feature importance for time-series black-box models NeurIPS 2020 A Contrastive Divergence for Combining Variational Inference and MCMC ICML 2019 Approximability of Discriminators Implies Diversity in GANs ICLR 2019 A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation EMNLP 2019 Intervening on Network Ties UAI 2019 Latent Variable Model for Multi-modal Translation ACL 2019 Learning to Generalize from Sparse and Underspecified Rewards ICML 2019 Minimal Random Code Learning: Getting Bits Back from Compressed Model Parameters ICLR 2019 Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation ACML 2019 Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter ACML 2019 Probability Distillation: A Caveat and Alternatives UAI 2019 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NeurIPS 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 Regularizing Neural Machine Translation by Target-Bidirectional Agreement AAAI 2019 Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NeurIPS 2019 Transferrable Prototypical Networks for Unsupervised Domain Adaptation CVPR 2019 Variational Bayes under Model Misspecification NeurIPS 2019