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Bayesian & Probabilistic

4,335 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,599) Bayesian Learning (1,663) Bayesian Inference (523) Variational Inference (107) Gaussian Processes (6) Bayesian Networks (5)

Papers per year

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Papers (including subtopics)

Online Speaker Diarization with Core Samples Selection INTERSPEECH 2022
Hardness of Maximum Likelihood Learning of DPPs COLT 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NIPS 2022
Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022
Bayesian federated estimation of causal effects from observational data UAI 2022
Riemannian Diffusion Models NIPS 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks JMLR 2022
iFS-RCNN: An Incremental Few-Shot Instance Segmenter CVPR 2022
EM’s Convergence in Gaussian Latent Tree Models COLT 2022
Contraction rates for sparse variational approximations in Gaussian process regression JMLR 2022
AND/OR branch-and-bound for computational protein design optimizing K* UAI 2022
Tractable Function-Space Variational Inference in Bayesian Neural Networks NIPS 2022
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022
On perfectness in Gaussian graphical models AISTATS 2022
Data Augmentation MCMC for Bayesian Inference from Privatized Data NIPS 2022
Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders CVPR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games ICML 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study L4DC 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022
Deep Hybrid Models for Out-of-Distribution Detection CVPR 2022
A Predictive Approach to Bayesian Nonparametric Survival Analysis AISTATS 2022