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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 1501–1550 of 2226 papers

TitleStatusHype
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
A Bayesian Inference Framework for Procedural Material Parameter Estimation—0
A Bayesian/Information Theoretic Model of Bias Learning—0
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting—0
A Bayesian model for identifying hierarchically organised states in neural population activity—0
A Bayesian Perspective on the Maximum Score Problem—0
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data—0
A Bayesian sparse factor model with adaptive posterior concentration—0
A Bayesian-Symbolic Approach to Learning and Reasoning for Intuitive Physics—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
A Bayesian take on option pricing with Gaussian processes—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
A Latent Variational Framework for Stochastic Optimization—0
ABC random forests for Bayesian parameter inference—0
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors—0
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference—0
Absolute Ranking: An Essential Normalization for Benchmarking Optimization Algorithms—0
A category theory framework for Bayesian learning—0
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models—0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning—0
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes—0
Accelerating Langevin Sampling with Birth-death—0
Accelerating MCMC via Parallel Predictive Prefetching—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over the Simplex—0
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models—0
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables—0
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics—0
Accounting for contact network uncertainty in epidemic inferences—0
Accurate Direct Positioning in Distributed MIMO Using Delay-Doppler Channel Measurements—0
Accurate Evaluation of Asset Pricing Under Uncertainty and Ambiguity of Information—0
Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning—0
A Channel-based Exact Inference Algorithm for Bayesian Networks—0
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One—0
A closed-form approach to Bayesian inference in tree-structured graphical models—0
A Closer Look at Disentangling in β-VAE—0
A closer look at parameter identifiability, model selection and handling of censored data with Bayesian Inference in mathematical models of tumour growth—0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications—0
A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics—0
A Compressed Sensing Approach for Distribution Matching—0
A Concept Learning Approach to Multisensory Object Perception—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation—0
Active inference and deep generative modeling for cognitive ultrasound—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Active recursive Bayesian inference using Rényi information measures—0
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference—0
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
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Benchmark Results

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