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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

Variational inference for nonlinear ordinary differential equations AISTATS 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Learning Temporal Point Processes with Intermittent Observations AISTATS 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021
Invertible Denoising Network: A Light Solution for Real Noise Removal CVPR 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning AAAI 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
A Variational Information Bottleneck Approach to Multi-Omics Data Integration AISTATS 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
EDGE: Explaining Deep Reinforcement Learning Policies NIPS 2021
Deep Explicit Duration Switching Models for Time Series NIPS 2021
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval EMNLP 2021
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation IJCNLP 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling IJCNLP 2021
Cascaded Head-colliding Attention IJCNLP 2021
Variational Auto-Regressive Gaussian Processes for Continual Learning ICML 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization ICCV 2021
Conditional Variational Capsule Network for Open Set Recognition ICCV 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021