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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1907) gaussian process (1200) generative model (2892) variational autoencoder (1288) latent variable model (564) probabilistic modeling (852) representation learning (6206) uncertainty quantification (1393) latent variable (541) approximate inference (253)

Papers

Point process models for sequence detection in high-dimensional neural spike trains NIPS 2020
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NIPS 2020
Variational Bayes in Private Settings (VIPS) (Extended Abstract) IJCAI 2020
Fast and Flexible Temporal Point Processes with Triangular Maps NIPS 2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee NIPS 2020
Deep Structural Causal Models for Tractable Counterfactual Inference NIPS 2020
Approximation Based Variance Reduction for Reparameterization Gradients NIPS 2020
Bidirectional Convolutional Poisson Gamma Dynamical Systems NIPS 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models NIPS 2020
Learning under Model Misspecification: Applications to Variational and Ensemble methods NIPS 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective NIPS 2020
Stochastic Deep Gaussian Processes over Graphs NIPS 2020
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking NIPS 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence NIPS 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Denoising Diffusion Probabilistic Models NIPS 2020
Generating Correct Answers for Progressive Matrices Intelligence Tests NIPS 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Walsh-Hadamard Variational Inference for Bayesian Deep Learning NIPS 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence NIPS 2020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick NIPS 2020
Learning Sparse Prototypes for Text Generation NIPS 2020