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Variational Inference

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TitleStatusHype
Scalable Bayesian Preference Learning for CrowdsCode0
Deep Probabilistic Models to Detect Data Poisoning Attacks—0
Stochastic Variational Inference via Upper Bound—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs—0
Differentially Private Federated Variational InferenceCode0
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process ModelCode0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network StructureCode0
Continual Learning with Adaptive Weights (CLAW)—0
Exactly Sparse Gaussian Variational Inference with Application to Derivative-Free Batch Nonlinear State Estimation—0
Generalized Transformation-based Gradient—0
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse—0
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Statistical Inference in Mean-Field Variational Bayes—0
Amortized Population Gibbs Samplers with Neural Sufficient StatisticsCode0
Unsupervised Neural Machine Translation with Future Rewarding—0
Neural Topic Model with Reinforcement Learning—0
Continual Multi-task Gaussian ProcessesCode0
Energy-Inspired Models: Learning with Sampler-Induced DistributionsCode0
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning—0
Thompson Sampling via Local UncertaintyCode0
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation—0
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation—0
Semi-Implicit Stochastic Recurrent Neural Networks—0
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