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Variational Inference

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TitleStatusHype
Edge Partition Modulated Graph Convolutional Networks—0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition—0
BayesPy: Variational Bayesian Inference in Python—0
Approximation-Aware Bayesian Optimization—0
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
Quantifying Variational Approximation for the Log-Partition Function—0
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Efficient Correlated Topic Modeling with Topic Embedding—0
Bayesian Transformer Language Models for Speech Recognition—0
Approximating exponential family models (not single distributions) with a two-network architecture—0
A Generalization Bound for Online Variational Inference—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Approximate Probabilistic Inference with Composed Flows—0
Bayesian Crowdsourcing with Constraints—0
Streaming Adaptive Nonparametric Variational Autoencoder—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning—0
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion—0
Dynamic Poisson Factorization—0
Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis—0
Bayesian Probabilistic Matrix Factorization—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Bayesian Probabilistic Co-Subspace Addition—0
Approximate Inference for Spectral Mixture Kernel—0
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