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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 1651–1700 of 2226 papers

TitleStatusHype
A Bayesian Approach for Accurate Classification-Based Aggregates—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Predictive Uncertainty Quantification with Compound Density Networks—0
Particle Flow Bayes' RuleCode1
Functional Regularisation for Continual Learning with Gaussian ProcessesCode0
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations—0
Metric Gaussian Variational InferenceCode0
Stochastic Gradient MCMC for Nonlinear State Space ModelsCode0
Scalable Metropolis-Hastings for Exact Bayesian Inference with Large DatasetsCode0
What does the free energy principle tell us about the brain?—0
Fitting A Mixture Distribution to Data: TutorialCode0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
Theory of Minds: Understanding Behavior in Groups Through Inverse Planning—0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning—0
Mixed Variational InferenceCode0
Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership—0
Undirected Graphical Models as Approximate PosteriorsCode0
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational InferenceCode0
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning—0
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning—0
Accelerated MM Algorithms for Ranking Scores Inference from Comparison DataCode0
Guess Who's Coming (and Who's Going): Bringing Perspective to the Rational Speech Acts Framework—0
Probabilistic Streaming Tensor DecompositionCode0
Neural Clustering ProcessesCode1
Meta Architecture SearchCode0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
Probabilistic Model Checking of Robots Deployed in Extreme Environments—0
Physics-Based Learning for Robotic Environmental Sensing—0
Sampling-based Bayesian Inference with gradient uncertainty—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
That's Mine! Learning Ownership Relations and Norms for Robots—0
Bandit Learning with Implicit FeedbackCode0
Predictive Approximate Bayesian Computation via Saddle Points—0
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments—0
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
Bayesian Inference of Temporal Task Specifications from Demonstrations—0
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues—0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences—0
Stochastic Gradient MCMC with Repulsive ForcesCode0
Uncertainty propagation in neural networks for sparse coding—0
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting—0
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference—0
Amortized Bayesian inference for clustering modelsCode0
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching HeteroskedasticityCode0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis—0
BAR: Bayesian Activity Recognition using variational inference—0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
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Benchmark Results

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