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Variational Inference

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TitleStatusHype
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
Neural Structure Learning with Stochastic Differential Equations—0
Estimating treatment effects from single-arm trials via latent-variable modelingCode0
Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural NetworksCode0
Forward χ^2 Divergence Based Variational Importance Sampling—0
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
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images—0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
DySurv: dynamic deep learning model for survival analysis with conditional variational inference—0
Deep Transformed Gaussian Processes—0
The statistical thermodynamics of generative diffusion models: Phase transitions, symmetry breaking and critical instability—0
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model AccelerationCode0
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference—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
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
Variational Inference for SDEs Driven by Fractional Noise—0
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