SOTAVerified

Bayesian Inference

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

Papers

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Showing 1726–1750 of 2226 papers

TitleStatusHype
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning—0
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting—0
Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease—0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
Bayesian Bandit Algorithms with Approximate Inference in Stochastic Linear Bandits—0
Bayesian Boosting for Linear Mixed Models—0
Bayesian brains and the Rényi divergence—0
Bayesian calibration of differentiable agent-based models—0
Bayesian causal inference via probabilistic program synthesis—0
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks—0
Bayesian Context Aggregation for Neural Processes—0
Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control—0
Bayesian data fusion with shared priors—0
Bayesian Data Sketching for Varying Coefficient Regression Models—0
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification—0
Bayesian Deep Learning for Discrete Choice—0
Bayesian deep learning framework for uncertainty quantification in high dimensions—0
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data—0
Bayesian Differential Privacy through Posterior Sampling—0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Bayesian Epistemology with Weighted Authority: A Formal Architecture for Truth-Promoting Autonomous Scientific Reasoning—0
Bayesian estimation of Differential Transcript Usage from RNA-seq data—0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition—0
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences—0
Bayesian Exponential Family PCA—0
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Benchmark Results

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