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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

Diversified Interactive Recommendation with Implicit Feedback AAAI 2020
Variational Metric Scaling for Metric-Based Meta-Learning AAAI 2020
Robust Data Programming with Precision-guided Labeling Functions AAAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics AAAI 2020
Effective Decoding in Graph Auto-Encoder Using Triadic Closure AAAI 2020
Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020
Reconsidering Generative Objectives For Counterfactual Reasoning NIPS 2020
TwoStreamVAN: Improving Motion Modeling in Video Generation WACV 2020
Variational Inference for Computational Imaging Inverse Problems JMLR 2020
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory AISTATS 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020
Uncertainty in Neural Networks: Approximately Bayesian Ensembling AISTATS 2020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables NIPS 2020
Deep Transformers with Latent Depth NIPS 2020
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network NIPS 2020
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations NIPS 2020
Recurrent Hierarchical Topic-Guided RNN for Language Generation ICML 2020
Doubly Sparse Variational Gaussian Processes AISTATS 2020
Deep Structured Mixtures of Gaussian Processes AISTATS 2020
Adversarial Mutual Information for Text Generation ICML 2020
VFlow: More Expressive Generative Flows with Variational Data Augmentation ICML 2020
Bayesian Pseudocoresets NIPS 2020
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances ICML 2020
Latent Bernoulli Autoencoder ICML 2020
A general recurrent state space framework for modeling neural dynamics during decision-making ICML 2020