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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 Bayesian Optimal Experimental Design NIPS 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference NIPS 2019
Practical Deep Learning with Bayesian Principles NIPS 2019
The Variational Predictive Natural Gradient ICML 2019
Moment-Based Variational Inference for Markov Jump Processes ICML 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation NIPS 2019
Neural Spline Flows NIPS 2019
Structured Variational Inference in Continuous Cox Process Models NIPS 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal NIPS 2019
Multi-resolution Multi-task Gaussian Processes NIPS 2019
Meta Learning with Relational Information for Short Sequences NIPS 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Random Function Priors for Correlation Modeling ICML 2019
Deep Latent Generative Models for Energy Disaggregation AAAI 2019
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy AAAI 2019
The Thermodynamic Variational Objective NIPS 2019
Variational Bayesian Decision-making for Continuous Utilities NIPS 2019
Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes NIPS 2019
Differentiable Probabilistic Models of Scientific Imaging with the Fourier Slice Theorem UAI 2019
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning NIPS 2019
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data NIPS 2019
Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes NIPS 2019
Unconstrained Monotonic Neural Networks NIPS 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions NIPS 2019