Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 176–200 of 2226 papers

Title	Date	Tasks	Status	Hype
Supervised Learning with Quantum Measurements	Apr 2, 2020	Bayesian InferenceGeneral Classification	CodeCode Available	1
Inferring COVID-19 spreading rates and potential change points for case number forecasts	Apr 2, 2020	Bayesian Inference	CodeCode Available	1
GAN-based Priors for Quantifying Uncertainty	Mar 27, 2020	Bayesian InferenceDenoising	CodeCode Available	1
Too many cooks: Bayesian inference for coordinating multi-agent collaboration	Mar 26, 2020	Bayesian Inference	CodeCode Available	1
BayesFlow: Learning complex stochastic models with invertible neural networks	Mar 13, 2020	Bayesian InferenceEpidemiology	CodeCode Available	1
A Bayesian algorithm for retrosynthesis	Mar 6, 2020	Bayesian InferenceCombinatorial Optimization	CodeCode Available	1
Flexible Bayesian Nonlinear Model Configuration	Mar 5, 2020	Bayesian Inferencemodel	CodeCode Available	1
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks	Feb 24, 2020	Bayesian Inference	CodeCode Available	1
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences	Feb 21, 2020	Atari GamesBayesian Inference	CodeCode Available	1
πVAE: a stochastic process prior for Bayesian deep learning with MCMC	Feb 17, 2020	Bayesian InferenceComputational Efficiency	CodeCode Available	1
Projected Stein Variational Gradient Descent	Feb 9, 2020	Bayesian Inference	CodeCode Available	1
Domain Adaptation as a Problem of Inference on Graphical Models	Feb 9, 2020	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Variational Item Response Theory: Fast, Accurate, and Expressive	Feb 1, 2020	Bayesian Inference	CodeCode Available	1
Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics	Jan 31, 2020	Bayesian InferencePhysical Simulations	CodeCode Available	1
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning	Jan 25, 2020	Bayesian InferenceDeep Learning	CodeCode Available	1
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo	Oct 14, 2019	Bayesian Inference	CodeCode Available	1
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels	Oct 11, 2019	Bayesian InferenceDomain Adaptation	CodeCode Available	1
Validated Variational Inference via Practical Posterior Error Bounds	Oct 9, 2019	Bayesian InferenceVariational Inference	CodeCode Available	1
Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference	Sep 30, 2019	Bayesian InferenceVariational Inference	CodeCode Available	1
Amortized Monte Carlo Integration	Jul 18, 2019	Bayesian Inference	CodeCode Available	1
Automatic Posterior Transformation for Likelihood-Free Inference	May 17, 2019	Bayesian InferenceTime Series	CodeCode Available	1
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning	Feb 11, 2019	Bayesian InferenceDeep Learning	CodeCode Available	1
A Simple Baseline for Bayesian Uncertainty in Deep Learning	Feb 7, 2019	Bayesian InferenceDeep Learning	CodeCode Available	1
Particle Flow Bayes' Rule	Feb 2, 2019	Bayesian InferenceMeta-Learning	CodeCode Available	1
Neural Clustering Processes	Dec 28, 2018	Bayesian InferenceClustering	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified