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Variational Inference

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TitleStatusHype
Approximate Bayesian inference in spatial environments—0
Approximate Decentralized Bayesian Inference—0
Approximate Inference by Compilation to Arithmetic Circuits—0
Approximate Inference for Spectral Mixture Kernel—0
Approximate Probabilistic Inference with Composed Flows—0
Approximating exponential family models (not single distributions) with a two-network architecture—0
Quantifying Variational Approximation for the Log-Partition Function—0
Approximation-Aware Bayesian Optimization—0
A Practical & Unified Notation for Information-Theoretic Quantities in ML—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Brain-like variational inference—0
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling—0
A stable deep adversarial learning approach for geological facies generation—0
A Probabilistic Generative Model of Free Categories—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods—0
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Score Operator Newton transport—0
A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation—0
A Sparse and Adaptive Prior for Time-Dependent Model Parameters—0
A Sparsity-promoting Dictionary Model for Variational Autoencoders—0
Assessment of Uncertainty Quantification in Universal Differential Equations—0
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders—0
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