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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NIPS 2024
A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024
A Bayesian Approach to Data Point Selection NIPS 2024
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint) AAAI 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Differentially Private Reward Estimation with Preference Feedback AISTATS 2024
Fixing Overconfidence in Dynamic Neural Networks WACV 2024
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
You’ve Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction RSS 2024
Explaining Language Model Predictions with High-Impact Concepts EACL 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Bayes-optimal learning of an extensive-width neural network from quadratically many samples NIPS 2024
Amortizing intractable inference in diffusion models for vision, language, and control NIPS 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog COLING 2024
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
s-ID: Causal Effect Identification in a Sub-population AAAI 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NIPS 2024
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering RSS 2024
Learning via Surrogate PAC-Bayes NIPS 2024