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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

TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021
On the Generative Utility of Cyclic Conditionals NIPS 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021
On Variational Inference in Biclustering Models ICML 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
Kernel Continual Learning ICML 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021
Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
f-Domain Adversarial Learning: Theory and Algorithms ICML 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
PixelTransformer: Sample Conditioned Signal Generation ICML 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NIPS 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation ACL 2021
Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021