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Variational Inference

1946 directly classified papers

Papers per year

Papers

From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020
Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians CORL 2020
Diffusion Variational Autoencoders IJCAI 2020
End-to-End Signal Factorization for Speech: Identity, Content, and Style IJCAI 2020
Structured Probabilistic End-to-End Learning from Crowds IJCAI 2020
Variational Autoencoders with Riemannian Brownian Motion Priors ICML 2020
Meta-Learning with Shared Amortized Variational Inference ICML 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations ICML 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors ICML 2020
Generating Diverse Translation from Model Distribution with Dropout EMNLP 2020
Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems ICML 2020
Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020
Model Fusion with Kullback-Leibler Divergence ICML 2020
Hierarchical Importance Weighted Autoencoders ICML 2019
Resampled Priors for Variational Autoencoders AISTATS 2019
Unbiased Implicit Variational Inference AISTATS 2019
Pathwise Derivatives for Multivariate Distributions AISTATS 2019
Efficient Inference in Multi-task Cox Process Models AISTATS 2019
Forward Amortized Inference for Likelihood-Free Variational Marginalization AISTATS 2019
Training Variational Autoencoders with Buffered Stochastic Variational Inference AISTATS 2019
Amortized Variational Inference with Graph Convolutional Networks for Gaussian Processes AISTATS 2019
Avoiding Latent Variable Collapse with Generative Skip Models AISTATS 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019