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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 951–975 of 2226 papers

TitleStatusHype
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
Data fission: splitting a single data point—0
Mathematical modelling, selection and hierarchical inference to determine the minimal dose in IFNα therapy against Myeloproliferative Neoplasms—0
Transformers Can Do Bayesian InferenceCode1
Predictive Coding Theories of Cortical Function—0
Detecting Model Misspecification in Amortized Bayesian Inference with Neural NetworksCode0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
Unified field theoretical approach to deep and recurrent neuronal networks—0
A Bayesian take on option pricing with Gaussian processes—0
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems—0
A Novel Gaussian Process Based Ground Segmentation Algorithm with Local-Smoothness Estimation—0
Efficient Online Bayesian Inference for Neural BanditsCode1
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation—0
A sampling-based circuit for optimal decision making—0
Functional Variational Inference based on Stochastic Process Generators—0
Impression learning: Online representation learning with synaptic plasticityCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
Sampling with Trusthworthy Constraints: A Variational Gradient FrameworkCode0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
A category theory framework for Bayesian learning—0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceCode0
Forget-SVGD: Particle-Based Bayesian Federated Unlearning—0
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Benchmark Results

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