variational inference

Bayesian Alignments of Warped Multi-Output Gaussian Processes NeurIPS 2018 Bayesian Approaches to Distribution Regression AISTATS 2018 Bayesian Model-Agnostic Meta-Learning NeurIPS 2018 Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling AISTATS 2018 Bayesian Semi-supervised Learning with Graph Gaussian Processes NeurIPS 2018 Black-Box Variational Inference for Stochastic Differential Equations ICML 2018 Boosting Variational Inference: an Optimization Perspective AISTATS 2018 BRUNO: A Deep Recurrent Model for Exchangeable Data NeurIPS 2018 Bucket Renormalization for Approximate Inference ICML 2018 Can clustering scale sublinearly with its clusters? A variational EM acceleration of GMMs and k-means AISTATS 2018 Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NeurIPS 2018 Compressing Neural Networks using the Variational Information Bottleneck ICML 2018 Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop EMNLP 2018 Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models JMLR 2018 Coupled Variational Bayes via Optimization Embedding NeurIPS 2018 Cross-Modal Deep Variational Hand Pose Estimation CVPR 2018 CRVI: Convex Relaxation for Variational Inference ICML 2018 Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference ICLR 2018 Deep Bayesian Nonparametric Tracking ICML 2018 Deep Dirichlet Multinomial Regression NAACL 2018 Deep Generative Markov State Models NeurIPS 2018 Deep Generative Model for Joint Alignment and Word Representation NAACL 2018 Deep Generative Models with Learnable Knowledge Constraints NeurIPS 2018 Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision EMNLP 2018 Deep State Space Models for Unconditional Word Generation NeurIPS 2018