Skip to content
conftrace_

Bayesian Inference

6,267 papers

11
104
177
544
558
'5
'10
'15
'20
'25

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