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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Modelling Populations of Interaction Networks via Distance Metrics JMLR 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
On Consistent Bayesian Inference from Synthetic Data JMLR 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo JMLR 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences CVPR 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds JMLR 2025
Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems JMLR 2025
Statistical field theory for Markov decision processes under uncertainty JMLR 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization EMNLP 2025
Few-Shot Open-Set Classification via Reasoning-Aware Decomposition EMNLP 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking EMNLP 2025
Surprise Calibration for Better In-Context Learning EMNLP 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process JMLR 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector ACL 2025
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems AAAI 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
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts EMNLP 2025
Mixtures of Gaussian Process Experts with SMC^2 JMLR 2025