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Bayesian Inference

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

Papers

Showing 12011250 of 2226 papers

TitleStatusHype
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models0
Scalable Bayesian Inverse Reinforcement Learning by Auto-Encoding Reward0
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization0
Scalable Decipherment for Machine Translation via Hash Sampling0
Scalable Discrete Sampling as a Multi-Armed Bandit Problem0
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)0
Scalable Inference for Neuronal Connectivity from Calcium Imaging0
Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation0
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes0
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression0
Scalable Variational Inference in Log-supermodular Models0
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference0
Beyond the Power Law: Estimation, Goodness-of-Fit, and a Semiparametric Extension in Complex Networks0
Scale invariant process regression: Towards Bayesian ML with minimal assumptions0
Scaling Bayesian inference of mixed multinomial logit models to very large datasets0
Scaling multi-species occupancy models to large citizen science datasets0
Scaling Nonparametric Bayesian Inference via Subsample-Annealing0
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks0
Seeing Tree Structure from Vibration0
Self-Averaging Expectation Propagation0
Semantic Classification and Learning Using a Linear Tranformation Model in a Probabilistic Type Theory with Records0
Semantic Parsing with Bayesian Tree Transducers0
Semiparametric Bayesian Difference-in-Differences0
Semiparametric Bayesian Inference for a Conditional Moment Equality Model0
Semi-parametric financial risk forecasting incorporating multiple realized measures0
Semiring Programming: A Declarative Framework for Generalized Sum Product Problems0
Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera0
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference0
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations0
Sequential Bayesian experimental designs via reinforcement learning0
Sequential Cooperative Bayesian Inference0
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model0
Sequential Gibbs Posteriors with Applications to Principal Component Analysis0
Sequential Monte Carlo Inference of Mixed Membership Stochastic Blockmodels for Dynamic Social Networks0
Optimality of short-term synaptic plasticity in modelling certain dynamic environments0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue0
Sigma Point Belief Propagation0
Signal-based Bayesian Seismic Monitoring0
Signal Detection in MIMO Systems with Hardware Imperfections: Message Passing on Neural Networks0
Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization0
Simulating how animals learn: a new modelling framework applied to the process of optimal foraging0
Simulation-based Bayesian inference for robotic grasping0
Simulation-based Bayesian inference for multi-fingered robotic grasping0
Simulation-based Bayesian inference under model misspecification0
Simulation-based inference with the Python Package sbijax0
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution0
Sketching for Latent Dirichlet-Categorical Models0
SMC Is All You Need: Parallel Strong Scaling0
SoftBart: Soft Bayesian Additive Regression Trees0
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Benchmark Results

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