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Bayesian & Probabilistic

5,407 papers (3 classified directly here)

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Papers (including subtopics)

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023 Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023 Uncertainty-guided Learning for Improving Image Manipulation Detection ICCV 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes ICML 2023 Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits ICML 2023 Undirected Probabilistic Model for Tensor Decomposition NeurIPS 2023 Unexpected Improvements to Expected Improvement for Bayesian Optimization NeurIPS 2023 Unsupervised representation learning with recognition-parametrised probabilistic models AISTATS 2023 User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems ICML 2023 Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic ACL 2023 Variational Gaussian processes for linear inverse problems NeurIPS 2023 Variational Gaussian Processes with Decoupled Conditionals NeurIPS 2023 Variational Inference for Deblending Crowded Starfields JMLR 2023 Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Latent Branching Model for Off-Policy Evaluation ICLR 2023 Vector-Valued Control Variates ICML 2023 Versatile Energy-Based Probabilistic Models for High Energy Physics NeurIPS 2023 Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information ACL 2023 Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model CVPR 2023 What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023 Accelerated Linearized Laplace Approximation for Bayesian Deep Learning NeurIPS 2022 Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022 A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022 Active Bayesian Causal Inference NeurIPS 2022