SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1911–1920 of 2226 papers

TitleStatusHype
Black-Box Autoregressive Density Estimation for State-Space Models—0
Black-box Bayesian inference for economic agent-based models—0
Blindness of score-based methods to isolated components and mixing proportions—0
Bob and Alice Go to a Bar: Reasoning About Future With Probabilistic Programs—0
Body movement to sound interface with vector autoregressive hierarchical hidden Markov models—0
Bone fusion in normal and pathological development is constrained by the network architecture of the human skull—0
Bootstrapped synthetic likelihood—0
Bounded rationality in structured density estimation—0
Bounded rationality in structured density estimation—0
Bridging the reality gap in quantum devices with physics-aware machine learning—0
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Benchmark Results

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