SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–275 of 2226 papers

TitleStatusHype
Position: The Future of Bayesian Prediction Is Prior-Fitted—0
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features—0
Judging LLMs on a Simplex—0
TabPFN: One Model to Rule Them All?Code0
Bayesian Deep Learning for Discrete Choice—0
Generalized Power Priors for Improved Bayesian Inference with Historical Data—0
Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference—0
Compositional amortized inference for large-scale hierarchical Bayesian models—0
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation—0
Understanding Task Representations in Neural Networks via Bayesian Ablation—0
SNAPE-PM: Building and Utilizing Dynamic Partner Models for Adaptive Explanation GenerationCode0
Variational Bayesian Inference for Time-Varying Massive MIMO Channels: Estimation and Detection—0
Efficient MCMC Sampling with Expensive-to-Compute and Irregular Likelihoods—0
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference NetworkCode0
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Bias or Optimality? Disentangling Bayesian Inference and Learning Biases in Human Decision-Making—0
Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching—0
A Symbolic and Statistical Learning Framework to Discover Bioprocessing Regulatory Mechanism: Cell Culture Example—0
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance SpectroscopyCode0
Bayesian Robust Aggregation for Federated LearningCode0
Ensemble Kalman filter for uncertainty in human language comprehension—0
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties—0
Data-driven Approach for Interpolation of Sparse DataCode0
Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges—0
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Benchmark Results

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