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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025
Backward Filtering Forward Guiding JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025
Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025
Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Guideline Compliance in Task-Oriented Dialogue: The Chained Prior Approach NAACL 2025
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-the-fly EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes JMLR 2025
Combining Climate Models using Bayesian Regression Trees and Random Paths JMLR 2025
Bayesian Score Calibration for Approximate Models JMLR 2025
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025