Bayesian Inference
6,267 papers
Papers per year
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11
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63
64
104
109
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177
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512
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613
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Papers
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
NeurIPS 2023
Piecewise Deterministic Markov Processes for Bayesian Neural Networks
UAI 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Plausible Uncertainties for Human Pose Regression
ICCV 2023
Pointwise sampling uncertainties on the Precision-Recall curve
AISTATS 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
NeurIPS 2023
Poisson Process for Bayesian Optimization
AutoML 2023
Posterior Consistency for Bayesian Relevance Vector Machines
JMLR 2023
Posterior Contraction for Deep Gaussian Process Priors
JMLR 2023
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds
NeurIPS 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
Posterior sampling-based online learning for the stochastic shortest path model
UAI 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
NeurIPS 2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments
RSS 2023
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
NeurIPS 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023
Precision/Recall on Imbalanced Test Data
AISTATS 2023
Predictive Inference with Feature Conformal Prediction
ICLR 2023
Preferential Subsampling for Stochastic Gradient Langevin Dynamics
AISTATS 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
NeurIPS 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Privacy-Aware Rejection Sampling
JMLR 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences
ICML 2023
Probabilistic circuits that know what they don’t know
UAI 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
ICML 2023