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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 1351–1400 of 2226 papers

TitleStatusHype
Thompson Sampling on Symmetric α-Stable Bandits—0
Hardware implementation of timely reliable Bayesian decision-making using memristors—0
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems—0
Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process—0
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference—0
Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function—0
Toward Biochemical Probabilistic Computation—0
A Diffusion Approximation Theory of Momentum SGD in Nonconvex Optimization—0
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization—0
Towards an Author-Topic-Term-Model Visualization of 100 Years of German Sociological Society Proceedings—0
Towards a Unified Framework for Sequential Decision Making—0
Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification—0
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry—0
Towards identifying the optimal datasize for lexically-based Bayesian inference of linguistic phylogenies—0
Towards Machine Wald—0
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior—0
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task—0
Towards Robust Object Detection: Bayesian RetinaNet for Homoscedastic Aleatoric Uncertainty Modeling—0
Towards Scalable Bayesian Learning of Causal DAGs—0
Towards Unifying Perceptual Reasoning and Logical Reasoning—0
Tracking disease outbreaks from sparse data with Bayesian inference—0
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory—0
Traffic Flow Prediction via Variational Bayesian Inference-based Encoder-Decoder Framework—0
Trajectory Modeling via Random Utility Inverse Reinforcement Learning—0
Transflow Learning: Repurposing Flow Models Without Retraining—0
Transforming Worlds: Automated Involutive MCMC for Open-Universe Probabilistic Models—0
Transport Gaussian Processes for Regression—0
Transport Quasi-Monte Carlo—0
Tree-Structured Stick Breaking for Hierarchical Data—0
Trust and Time Preference: Measuring a Causal Effect in a Random-Assignment Experiment—0
Tutorial: VAE as an inference paradigm for neuroimaging—0
UAV-Based Remote Sensing of Soil Moisture Across Diverse Land Covers: Validation and Bayesian Uncertainty Characterization—0
Unbiased Bayes for Big Data: Paths of Partial Posteriors—0
Uncertain Evidence in Probabilistic Models and Stochastic Simulators—0
Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue—0
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference—0
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift—0
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference—0
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models—0
Surrogate Model For Field Optimization Using Beta-VAE Based Regression—0
Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning—0
Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning—0
Uncertainty Calibration Error: A New Metric for Multi-Class Classification—0
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development—0
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference—0
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning—0
Uncertainty propagation in neural networks for sparse coding—0
Uncertainty quantification in covid-19 spread: lockdown effects—0
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement—0
Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective—0
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Benchmark Results

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