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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 121–130 of 2226 papers

Title	Date	Tasks	Status	Hype
Dangers of Bayesian Model Averaging under Covariate Shift	Jun 22, 2021	Bayesian Inferencemodel	CodeCode Available	1
Variational multiple shooting for Bayesian ODEs with Gaussian processes	Jun 21, 2021	Bayesian InferenceGaussian Processes	CodeCode Available	1
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces	Jun 19, 2021	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	1
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures	Jun 14, 2021	Bayesian InferenceCausal Inference	CodeCode Available	1
Deep Bayesian Unsupervised Lifelong Learning	Jun 13, 2021	Bayesian InferenceLifelong learning	CodeCode Available	1
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting	Jun 10, 2021	Bayesian InferenceSpatio-Temporal Forecasting	CodeCode Available	1
Scalable conditional deep inverse Rosenblatt transports using tensor-trains and gradient-based dimension reduction	Jun 8, 2021	Bayesian InferenceDimensionality Reduction	CodeCode Available	1
Antipodes of Label Differential Privacy: PATE and ALIBI	Jun 7, 2021	Bayesian InferenceMemorization	CodeCode Available	1
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area	May 12, 2021	Bayesian InferenceExperimental Design	CodeCode Available	1
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty	May 9, 2021	Bayesian InferenceDomain Generalization	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