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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 1751–1775 of 2226 papers

TitleStatusHype
Empirical analysis of representation learning and exploration in neural kernel banditsCode0
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interactionCode0
Likelihood Based Inference in Fully and Partially Observed Exponential Family Graphical Models with Intractable Normalizing ConstantsCode0
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning AlgorithmsCode0
Bayesian Calibration of Win Rate Estimation with LLM EvaluatorsCode0
Amortized Bayesian inference for clustering modelsCode0
Likelihood-free inference with emulator networksCode0
Differentially Private Bayesian Inference for Exponential FamiliesCode0
Accelerated Bayesian imaging by relaxed proximal-point Langevin samplingCode0
Differentially Private Bayesian Learning on Distributed DataCode0
Differentially Private Distributed Bayesian Linear Regression with MCMCCode0
Differentially Private Federated Variational InferenceCode0
The Hyperdimensional Transform for Distributional Modelling, Regression and ClassificationCode0
Correcting Predictions for Approximate Bayesian InferenceCode0
Pairwise Comparisons with Flexible Time-DynamicsCode0
Coresets for Scalable Bayesian Logistic RegressionCode0
Accelerated MM Algorithms for Ranking Scores Inference from Comparison DataCode0
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision ModelsCode0
Bayesian posterior repartitioning for nested samplingCode0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian InferenceCode0
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous DataCode0
Continual Multi-task Gaussian ProcessesCode0
Probabilistic Streaming Tensor DecompositionCode0
Variational Bayesian inference for linear and logistic regressionCode0
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Benchmark Results

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