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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

On Variational Inference in Biclustering Models ICML 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network ICML 2021
Multi-class Gaussian Process Classification with Noisy Inputs JMLR 2021
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables ICML 2021
Kernel Continual Learning ICML 2021
Normalizing Flows for Probabilistic Modeling and Inference JMLR 2021
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning ICML 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling ACL 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler AAAI 2021
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference ACL 2021
Nonparametric Decomposition of Sparse Tensors ICML 2021
PixelTransformer: Sample Conditioned Signal Generation ICML 2021
Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
The neural moving average model for scalable variational inference of state space models UAI 2021
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders ACL 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation ACL 2021
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting AAAI 2021
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021
Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021
Efficient online inference for nonparametric mixture models UAI 2021
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment UAI 2021
A Variational Inference Approach to Learning Multivariate Wold Processes AISTATS 2021