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Variational Inference

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TitleStatusHype
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network—0
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing—0
Automatic Differentiation Variational Inference with Mixtures—0
Distance-Preserving Spatial Representations in Genomic Data—0
Amortized Inference of Variational Bounds for Learning Noisy-OR—0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
Cold Posteriors through PAC-Bayes—0
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems—0
Automated Variational Inference in Probabilistic Programming—0
Automated Variational Inference for Gaussian Process Models—0
A Deterministic Global Optimization Method for Variational Inference—0
CoCo Games: Graphical Game-Theoretic Swarm Control for Communication-Aware Coverage—0
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting—0
Amortized Context Vector Inference for Sequence-to-Sequence Networks—0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—0
Amortized Bayesian Meta-Learning—0
A Deep Variational Bayesian Framework for Blind Image Deblurring—0
Co-clustering through Optimal Transport—0
Collapsed variational Bayes for Markov jump processes—0
Composing Normalizing Flows for Inverse Problems—0
AutoBayes: A Compositional Framework for Generalized Variational Inference—0
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows—0
Amortized backward variational inference in nonlinear state-space models—0
A universal probabilistic spike count model reveals ongoing modulation of neural variability—0
Amortised MAP Inference for Image Super-resolution—0
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