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Variational Inference

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TitleStatusHype
Tree-Structured Topic Modeling with Nonparametric Neural Variational InferenceCode1
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation—0
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver—0
Self-Supervised Inference in State-Space Models—0
Neural Variational Gradient DescentCode1
Structured Stochastic Gradient MCMCCode0
Subset-of-Data Variational Inference for Deep Gaussian-Processes RegressionCode0
Input Dependent Sparse Gaussian Processes—0
Variational Topic Inference for Chest X-Ray Report Generation—0
Principal component analysis for Gaussian process posteriors—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Kernel Continual LearningCode0
Bayesian brains and the Rényi divergence—0
Prb-GAN: A Probabilistic Framework for GAN Modelling—0
Gradient-Based Quantification of Epistemic Uncertainty for Deep Object DetectorsCode0
Scaling Gaussian Processes with Derivative Information Using Variational Inference—0
MCMC Variational Inference via Uncorrected Hamiltonian Annealing—0
Generative locally linear embedding: A module for manifold unfolding and visualizationCode1
InfoNCE is variational inference in a recognition parameterised model—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
Deep Gaussian Process Emulation using Stochastic ImputationCode1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
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