Bayesian Inference
6,267 papers
Papers per year
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11
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64
104
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177
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285
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512
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Papers
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
CoRL 2024
Perceptual Scales Predicted by Fisher Information Metrics
ICLR 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
JMLR 2024
PGODE: Towards High-quality System Dynamics Modeling
ICML 2024
Physically consistent modeling & identification of nonlinear friction with dissipative Gaussian processes
L4DC 2024
Physics and Lie symmetry informed Gaussian processes
ICML 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models
L4DC 2024
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning
ICML 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
RSS 2024
Poisson Variational Autoencoder
NeurIPS 2024
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
ICML 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
ICLR 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation
AISTATS 2024
Practical Bayesian Algorithm Execution via Posterior Sampling
NeurIPS 2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
ICML 2024
Precise Model Benchmarking with Only a Few Observations
EMNLP 2024
Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments
NAACL 2024
Predictive, scalable and interpretable knowledge tracing on structured domains
ICLR 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)
AAAI 2024
Pre-trained Gaussian Processes for Bayesian Optimization
JMLR 2024
Preventing Model Collapse in Gaussian Process Latent Variable Models
ICML 2024
Principled Bayesian Optimization in Collaboration with Human Experts
NeurIPS 2024
Principled Gradient-Based MCMC for Conditional Sampling of Text
ICML 2024
Principled Preferential Bayesian Optimization
ICML 2024