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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 1201–1225 of 2226 papers

TitleStatusHype
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models—0
Scalable Bayesian Inverse Reinforcement Learning by Auto-Encoding Reward—0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers—0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization—0
Scalable Decipherment for Machine Translation via Hash Sampling—0
Scalable Discrete Sampling as a Multi-Armed Bandit Problem—0
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)—0
Scalable Inference for Neuronal Connectivity from Calcium Imaging—0
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation—0
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes—0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression—0
Scalable Variational Inference in Log-supermodular Models—0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference—0
Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks—0
Scale invariant process regression: Towards Bayesian ML with minimal assumptions—0
Scaling Bayesian inference of mixed multinomial logit models to very large datasets—0
Scaling multi-species occupancy models to large citizen science datasets—0
Scaling Nonparametric Bayesian Inference via Subsample-Annealing—0
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks—0
Seeing Tree Structure from Vibration—0
Self-Averaging Expectation Propagation—0
Semantic Classification and Learning Using a Linear Tranformation Model in a Probabilistic Type Theory with Records—0
Semantic Parsing with Bayesian Tree Transducers—0
Semiparametric Bayesian Difference-in-Differences—0
Semiparametric Bayesian Inference for a Conditional Moment Equality Model—0
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Benchmark Results

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