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Variational Inference

1946 directly classified papers

Papers per year

Papers

Automatic Differentiation Variational Inference with Mixtures AISTATS 2021
Hyperbolic graph embedding with enhanced semi-implicit variational inference. AISTATS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders AISTATS 2021
Latent Gaussian process with composite likelihoods and numerical quadrature AISTATS 2021
Deep Generative Missingness Pattern-Set Mixture Models AISTATS 2021
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models AISTATS 2021
Meta-Learning Divergences for Variational Inference AISTATS 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NIPS 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Demystifying Inductive Biases for (Beta-)VAE Based Architectures ICML 2021
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering ICCV 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data AISTATS 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models AISTATS 2021
Rate-Regularization and Generalization in Variational Autoencoders AISTATS 2021
HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features IJCAI 2020
Black-Box Inference for Non-Linear Latent Force Models AISTATS 2020
Coping With Simulators That Don’t Always Return AISTATS 2020
Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator UAI 2020
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models AISTATS 2020
Variational Autoencoders and Nonlinear ICA: A Unifying Framework AISTATS 2020
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders AISTATS 2020
Amortized Inference of Variational Bounds for Learning Noisy-OR AISTATS 2020
Stochastic Neural Network with Kronecker Flow AISTATS 2020
Regularized Autoencoders via Relaxed Injective Probability Flow AISTATS 2020