Bayesian Inference
6,267 papers
Papers per year
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11
53
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63
64
104
109
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177
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285
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512
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613
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658
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Papers
Root Cause Explanation of Outliers under Noisy Mechanisms
AAAI 2024
RSAP-DFM: Regime-Shifting Adaptive Posterior Dynamic Factor Model for Stock Returns Prediction
IJCAI 2024
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
CoRL 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
AAAI 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
NeurIPS 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
NeurIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances
NeurIPS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
AISTATS 2024
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier
COLT 2024
Sampling-Resilient Multi-Object Tracking
AAAI 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes
NeurIPS 2024
Scalable Meta-Learning with Gaussian Processes
AISTATS 2024
SCOD: From Heuristics to Theory
ECCV 2024
Scores for Learning Discrete Causal Graphs with Unobserved Confounders
AAAI 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels
NeurIPS 2024
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
ICML 2024
Self-Calibrating Conformal Prediction
NeurIPS 2024
Self-Supervised Denoising Transformer With Gaussian Process
WACV 2024
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
NeurIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NeurIPS 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
AISTATS 2024
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
ICML 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood
NeurIPS 2024
s-ID: Causal Effect Identification in a Sub-population
AAAI 2024
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)
AAAI 2024