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Variational Inference

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TitleStatusHype
WISE: full-Waveform variational Inference via Subsurface Extensions—0
Worst-case Optimal Submodular Extensions for Marginal Estimation—0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Variance Control for Black Box Variational Inference Using The James-Stein Estimator—0
Variational Conditional GAN for Fine-grained Controllable Image Generation—0
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation—0
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification—0
Distance-Preserving Spatial Representations in Genomic Data—0
Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression—0
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent—0
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way—0
A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
A Causal Ordering Prior for Unsupervised Representation Learning—0
Accelerating Particle-based Energetic Variational Inference—0
Accelerating Stochastic Probabilistic Inference—0
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS—0
A Closer Look at Disentangling in β-VAE—0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
A Continuous-time Stochastic Gradient Descent Method for Continuous Data—0
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning—0
Actively Inferring Optimal Measurement Sequences—0
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
Streaming Adaptive Nonparametric Variational Autoencoder—0
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