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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)

PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception AAAI 2021
On the Convex Combination of Determinantal Point Processes ACML 2021
Exact marginal prior distributions of finite Bayesian neural networks NIPS 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning ICML 2021
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021
Probabilistic Generating Circuits ICML 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data NIPS 2021
Dynamic Cutset Networks AISTATS 2021
Bayesian Text Classification and Summarization via A Class-Specified Topic Model JMLR 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021
VLGrammar: Grounded Grammar Induction of Vision and Language ICCV 2021
High-Dimensional Gaussian Process Inference with Derivatives ICML 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021
Tractable Regularization of Probabilistic Circuits NIPS 2021
Quantifying Contextual Aspects of Inter-annotator Agreement in Intertextuality Research EMNLP 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021
Identifying Norms from Observation Using MCMC Sampling IJCAI 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Deep Bucket Elimination IJCAI 2021
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CORL 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021
Infinite Time Horizon Safety of Bayesian Neural Networks NIPS 2021