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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 1151–1200 of 2226 papers

TitleStatusHype
EMG Pattern Recognition via Bayesian Inference with Scale Mixture-Based Stochastic Generative Models—0
Mismatched Estimation of rank-one symmetric matrices under Gaussian noiseCode0
Structured Stochastic Gradient MCMCCode0
Compressed particle methods for expensive models with application in Astronomy and Remote Sensing—0
Compressed Monte Carlo with application in particle filtering—0
Hybrid Bayesian Neural Networks with Functional Probabilistic Layers—0
Bayesian brains and the Rényi divergence—0
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty—0
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential EquationsCode0
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks—0
Biases and Variability from Costly Bayesian Inference—0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors—0
Bayesian Nonparametric Modelling for Model-Free Reinforcement Learning in LTE-LAA and Wi-Fi Coexistence—0
InfoNCE is variational inference in a recognition parameterised model—0
q-Paths: Generalizing the Geometric Annealing Path using Power MeansCode0
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence—0
Applications of the Free Energy Principle to Machine Learning and Neuroscience—0
AutoEKF: Scalable System Identification for COVID-19 Forecasting from Large-Scale GPS Data—0
Bayesian Eye Tracking—0
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model—0
Bayesian Neural Networks: Essentials—0
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization—0
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous DataCode0
Goal-Directed Planning by Reinforcement Learning and Active Inference—0
Being a Bit Frequentist Improves Bayesian Neural NetworksCode0
Quasi-Bayesian Dual Instrumental Variable RegressionCode0
Analog Seizure Detection for Implanted Responsive Neurostimulation—0
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs—0
Quantum Speedup of Natural Gradient for Variational Bayes—0
Data augmentation in Bayesian neural networks and the cold posterior effect—0
An Interpretable Neural Network for Parameter Inference—0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Bayesian Boosting for Linear Mixed Models—0
Nonlinear Hawkes Processes in Time-Varying System—0
Bridging physiological and perceptual views of autism by means of sampling-based Bayesian inference—0
Context-tree weighting for real-valued time series: Bayesian inference with hierarchical mixture models—0
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks—0
Canonical Cortical Circuits and the Duality of Bayesian Inference and Optimal Control—0
Bayesian Inference for Gamma Models—0
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera—0
Online Bayesian inference for multiple changepoints and risk assessment—0
Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing—0
Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC—0
Calibration and Uncertainty Quantification of Bayesian Convolutional Neural Networks for Geophysical Applications—0
Trajectory Modeling via Random Utility Inverse Reinforcement Learning—0
How particular is the physics of the free energy principle?—0
Vector autoregression models with skewness and heavy tails—0
Privacy Amplification Via Bernoulli Sampling—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
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Benchmark Results

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