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Bayesian Inference

6,267 papers

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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