Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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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