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Bayesian Inference

4821 directly classified papers

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Papers

Linear Uncertainty Quantification of Graphical Model Inference NIPS 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels AISTATS 2024
Reparameterized Variational Rejection Sampling AISTATS 2024
Expected Probabilistic Hierarchies NIPS 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024
Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024
Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations INTERSPEECH 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024
Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024
Learning Non-Gaussian Graphical Models via Hessian Scores and Triangular Transport JMLR 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
Uncertainty-Aware Mean Opinion Score Prediction INTERSPEECH 2024
Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis COLING 2024
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024
Learning Adverbs with Spectral Mixture Kernels ACL 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NIPS 2024