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Variational Inference

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TitleStatusHype
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
Deep Ensemble as a Gaussian Process Posterior—0
Collapsed variational Bayes for Markov jump processes—0
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems—0
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
A Tutorial on the Mathematical Model of Single Cell Variational Inference—0
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
Boosting Variational Inference—0
Score Operator Newton transport—0
A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series—0
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization—0
BoA-PTA, A Bayesian Optimization Accelerated Error-Free SPICE Solver—0
Blindness of score-based methods to isolated components and mixing proportions—0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks—0
Compositional Scene Modeling with Global Object-Centric Representations—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Accelerating Stochastic Probabilistic Inference—0
Computing with Categories in Machine Learning—0
Blind Image Denoising via Dependent Dirichlet Process Tree—0
Amortized Bayesian Meta-Learning—0
A Rule for Gradient Estimator Selection, with an Application to Variational Inference—0
Blind Channel Estimation for MIMO Systems via Variational Inference—0
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