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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 976–1000 of 2226 papers

TitleStatusHype
Double Robust Bayesian Inference on Average Treatment Effects—0
Approximations in the homogeneous Ising model—0
Fast Variational Inference for Large-scale Internet Diagnosis—0
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis—0
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks—0
FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing—0
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble—0
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference—0
Bayesian Inference for Large Scale Image Classification—0
Domain Agnostic Conditional Invariant Predictions for Domain Generalization—0
Bayesian Inference for Jump-Diffusion Approximations of Biochemical Reaction Networks—0
Few-Shot Bayesian Imitation Learning with Logical Program Policies—0
Few-shot Non-line-of-sight Imaging with Signal-surface Collaborative Regularization—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation—0
Finite-Dimensional BFRY Priors and Variational Bayesian Inference for Power Law Models—0
Finite Horizon Throughput Maximization and Sensing Optimization in Wireless Powered Devices over Fading Channels—0
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection—0
Firefly Monte Carlo: Exact MCMC with Subsets of Data—0
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs—0
Do Bayesian Neural Networks Improve Weapon System Predictive Maintenance?—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified