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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

Sparse within Sparse Gaussian Processes using Neighbor Information ICML 2021
A Variational Information Bottleneck Approach to Multi-Omics Data Integration AISTATS 2021
Iterative Amortized Policy Optimization NIPS 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
Invertible Denoising Network: A Light Solution for Real Noise Removal CVPR 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
A Differentiable Point Process with Its Application to Spiking Neural Networks ICML 2021
Dual Online Stein Variational Inference for Control and Dynamics RSS 2021
Variational Inference MPC using Tsallis Divergence RSS 2021
Nonparametric Decomposition of Sparse Tensors ICML 2021
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021
Streaming Bayesian Deep Tensor Factorization ICML 2021
Behavior-Driven Synthesis of Human Dynamics CVPR 2021
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference AISTATS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 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
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021
A unified view of likelihood ratio and reparameterization gradients AISTATS 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation EMNLP 2021
Learning Opinion Summarizers by Selecting Informative Reviews EMNLP 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021