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Variational Inference

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TitleStatusHype
Bayesian Active Meta-Learning for Few Pilot Demodulation and EqualizationCode0
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
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
Prb-GAN: A Probabilistic Framework for GAN Modelling—0
Bayesian brains and the Rényi divergence—0
Kernel Continual LearningCode0
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
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
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
Dep-L_0: Improving L_0-based Network Sparsification via Dependency ModelingCode0
Use of Variational Inference in Music Emotion Recognition—0
Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors—0
Predictive Control Using Learned State Space Models via Rolling Horizon Evolution—0
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models—0
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