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variational inference

2069 papers

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Also known as

VI-NET VRNN VBI SVI VIBE VQ-VAE ADVI VARNET MCVI PARVI SAVI VI VAE VMP VB BBVI ELBO VIB

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow ACML 2020
Streaming Nonlinear Bayesian Tensor Decomposition UAI 2020
Deep Sigma Point Processes UAI 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC ICML 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
Convergence Rates of Variational Inference in Sparse Deep Learning ICML 2020
Target–Aware Bayesian Inference: How to Beat Optimal Conventional Estimators JMLR 2020
Multi-Source Neural Variational Inference AAAI 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity AISTATS 2019
Neural Gaussian Copula for Variational Autoencoder EMNLP 2019
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks ACL 2019
Deep Bayesian Natural Language Processing ACL 2019
Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation AAAI 2019
Diverse Generation for Multi-Agent Sports Games CVPR 2019
Structured Neural Topic Models for Reviews AISTATS 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching ACL 2019
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019
Word Embedding as Maximum A Posteriori Estimation AAAI 2019
A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019
Parametric Manifold Learning of Gaussian Mixture Models IJCAI 2019
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty IJCAI 2019
Disentangled Variational Representation for Heterogeneous Face Recognition AAAI 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019