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Bayesian Inference

518 directly classified papers

Papers per year

Papers

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025
Epistemic Bellman Operators AAAI 2025
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models EMNLP 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025
Transformers Represent Belief State Geometry in their Residual Stream NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Gated Inference Network: Inference and Learning State-Space Models NIPS 2024
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024
A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing AAAI 2024
Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024
Estimating the Hallucination Rate of Generative AI NIPS 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation NIPS 2024
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024
Safe Exploitative Play with Untrusted Type Beliefs NIPS 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024