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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Learning Disturbances Online for Risk-Aware Control: Risk-Aware Flight with Less Than One Minute of Data L4DC 2023
Model-based Validation as Probabilistic Inference L4DC 2023
Physics-Guided Active Learning of Environmental Flow Fields L4DC 2023
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
Wing shape estimation with Extended Kalman filtering and KalmanNet neural network of a flexible wing aircraft L4DC 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models L4DC 2023
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning NIPS 2023
Probabilistic Inference in Reinforcement Learning Done Right NIPS 2023
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NIPS 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes NIPS 2023
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs NIPS 2023
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners CORL 2023
Dexterous Functional Grasping CORL 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation NIPS 2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NIPS 2023
Bayesian Optimization with Cost-varying Variable Subsets NIPS 2023
Hyperbolic VAE via Latent Gaussian Distributions NIPS 2023
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning NIPS 2023
Neural Sampling in Hierarchical Exponential-family Energy-based Models NIPS 2023
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks NIPS 2023
Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling NIPS 2023
Latent SDEs on Homogeneous Spaces NIPS 2023
Gaussian Distributed Prototypical Network for Few-shot Genomic Variant Detection ACL 2023