Bayesian Inference
6,267 papers
Papers per year
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11
53
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63
64
104
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177
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512
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Papers
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities
NeurIPS 2024
Kernel Semi-Implicit Variational Inference
ICML 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
WACV 2024
Lagrangian inspired polynomial estimator for black-box learning and control of underactuated systems
L4DC 2024
Langevin Policy for Safe Reinforcement Learning
ICML 2024
Language Models with Conformal Factuality Guarantees
ICML 2024
Large Language Models to Enhance Bayesian Optimization
ICLR 2024
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming
ICML 2024
Learning Adverbs with Spectral Mixture Kernels
ACL 2024
Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters
AAAI 2024
Learning Diffusion Priors from Observations by Expectation Maximization
NeurIPS 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
COLING 2024
Learning model uncertainty as variance-minimizing instance weights
ICLR 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport
JMLR 2024
Learning to Continually Learn with the Bayesian Principle
ICML 2024
Learning to Explore for Stochastic Gradient MCMC
ICML 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation
ACL 2024
Learning via Surrogate PAC-Bayes
NeurIPS 2024
Learning Visuotactile Estimation and Control for Non-prehensile Manipulation under Occlusions
CoRL 2024
Learning with Posterior Sampling for Revenue Management under Time-varying Demand
IJCAI 2024
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals
NeurIPS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
AISTATS 2024
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference
ICML 2024
Leveraging Uncertainty Estimates To Improve Classifier Performance
ICLR 2024