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Variational Inference

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TitleStatusHype
Dropout Sampling for Robust Object Detection in Open-Set Conditions—0
Dual Adversarial Auto-Encoders for Clustering—0
Dual Adversarial Variational Embedding for Robust Recommendation—0
Bayesian Probabilistic Matrix Factorization: A User Frequency Analysis—0
Discrete flow posteriors for variational inference in discrete dynamical systems—0
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems—0
Dynamical Deep Generative Latent Modeling of 3D Skeletal Motion—0
Bayesian Robust Tensor Factorization for Incomplete Multiway Data—0
A NOVEL VARIATIONAL FAMILY FOR HIDDEN NON-LINEAR MARKOV MODELS—0
Dynamic Collaborative Filtering with Compound Poisson Factorization—0
Dynamic Poisson Factorization—0
Approximate Probabilistic Inference with Composed Flows—0
Exponential Convergence of CAVI for Bayesian PCA—0
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts—0
Factored expectation propagation for input-output FHMM models in systems biology—0
A Generalization Bound for Online Variational Inference—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Edge-Fog Computing-Enabled EEG Data Compression via Asymmetrical Variational Discrete Cosine Transform Network—0
Edge Partition Modulated Graph Convolutional Networks—0
Bayesian Transformer Language Models for Speech Recognition—0
Bayesian Variational Federated Learning and Unlearning in Decentralized Networks—0
Efficient Approximate Inference with Walsh-Hadamard Variational Inference—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
Bayesian Model Selection via Mean-Field Variational Approximation—0
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