Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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168
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273
389
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Papers (including subtopics)
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention
AAAI 2022
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
L4DC 2022
Truncated proposals for scalable and hassle-free simulation-based inference
NeurIPS 2022
Trusted Multi-View Deep Learning with Opinion Aggregation
AAAI 2022
Tuning-Free Generalized Hamiltonian Monte Carlo
AISTATS 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
AAAI 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NeurIPS 2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
NeurIPS 2022
Understanding the Variance Collapse of SVGD in High Dimensions
ICLR 2022
Unifying Likelihood-free Inference with Black-box Optimization and Beyond
ICLR 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective
JMLR 2022
Updating Probability Intervals with Uncertain Inputs
IJCAI 2022
Using Mixed-Effects Models to Learn Bayesian Networks from Related Data Sets
PGM 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
JMLR 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming
NeurIPS 2022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
NeurIPS 2022
Variational Inference in high-dimensional linear regression
JMLR 2022
Variational inference via Wasserstein gradient flows
NeurIPS 2022
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference
UAI 2022
Variational nearest neighbor Gaussian process
ICML 2022
Variational oracle guiding for reinforcement learning
ICLR 2022
Who did it? Identifying the Most Likely Origins of Events
PGM 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models
ICML 2022
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
ICML 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
AISTATS 2022