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Variational Inference

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Showing 376–400 of 2274 papers

TitleStatusHype
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
PGODE: Towards High-quality System Dynamics Modeling—0
Low-Multi-Rank High-Order Bayesian Robust Tensor Factorization—0
Estimating treatment effects from single-arm trials via latent-variable modelingCode0
Neural Structure Learning with Stochastic Differential Equations—0
Forward χ^2 Divergence Based Variational Importance Sampling—0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Disentangled Representation Learning with Transmitted Information Bottleneck—0
VIGraph: Generative Self-supervised Learning for Class-Imbalanced Node Classification—0
Rethinking Variational Inference for Probabilistic Programs with Stochastic SupportCode0
Diffusion models for probabilistic programmingCode0
Bridging the Gap Between Variational Inference and Wasserstein Gradient FlowsCode0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images—0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Deep Transformed Gaussian Processes—0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability—0
Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks—0
Adaptive importance sampling for heavy-tailed distributions via α-divergence minimizationCode0
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference—0
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions—0
Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference—0
Normalizing flow-based deep variational Bayesian network for seismic multi-hazards and impacts estimation from InSAR imagery—0
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