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Variational Inference

1,952 papers

Papers per year

2
9
31
252
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Papers

Linear Disentangled Representations and Unsupervised Action Estimation NIPS 2020
Robust Disentanglement of a Few Factors at a Time using rPU-VAE NIPS 2020
VarGrad: A Low-Variance Gradient Estimator for Variational Inference NIPS 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity NIPS 2020
Learning Sparse Prototypes for Text Generation NIPS 2020
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NIPS 2020
The Autoencoding Variational Autoencoder NIPS 2020
Markovian Score Climbing: Variational Inference with KL(p||q) NIPS 2020
On the Expressiveness of Approximate Inference in Bayesian Neural Networks NIPS 2020
Variational Bayesian Unlearning NIPS 2020
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding NIPS 2020
Variational Amodal Object Completion NIPS 2020
Bayesian Attention Modules NIPS 2020
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds NIPS 2020
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization NIPS 2020
f-Divergence Variational Inference NIPS 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models NIPS 2020
Improving model calibration with accuracy versus uncertainty optimization NIPS 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020
Quantized Variational Inference NIPS 2020
Recursive Inference for Variational Autoencoders NIPS 2020
NVAE: A Deep Hierarchical Variational Autoencoder NIPS 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder NIPS 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data NIPS 2020