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Variational Inference

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TitleStatusHype
Indian Buffet Process Deep Generative Models for Semi-Supervised Classification—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
Inducing Interpretable Representations with Variational Autoencoders—0
Inference for determinantal point processes without spectral knowledge—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Inferring the quantum density matrix with machine learning—0
Hierarchical Bayesian Personalized Recommendation: A Case Study and Beyond—0
Confidence Estimation via Sequential Likelihood Mixing—0
InfoNCE is variational inference in a recognition parameterised model—0
A Deterministic Global Optimization Method for Variational Inference—0
Information Field Theory and Artificial Intelligence—0
Information Theory with Kernel Methods—0
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification—0
Injective flows for star-like manifolds—0
Input Dependent Sparse Gaussian Processes—0
Hierarchical Bayes Autoencoders—0
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
Composing Normalizing Flows for Inverse Problems—0
Integrating Document Clustering and Topic Modeling—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
Variational Policy Propagation for Multi-agent Reinforcement Learning—0
Hamiltonian Policy Optimization in Reinforcement Learning—0
Interactive Graph Convolutional Filtering—0
Hamiltonian Policy Optimization—0
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping—0
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