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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)

Bayesian Bellman Operators NIPS 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 2021
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling NIPS 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance NIPS 2021
Generative Particle Variational Inference via Estimation of Functional Gradients ICML 2021
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models NIPS 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution CVPR 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information NIPS 2021
HNPE: Leveraging Global Parameters for Neural Posterior Estimation NIPS 2021
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming IJCAI 2021
Probabilistic Tensor Decomposition of Neural Population Spiking Activity NIPS 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021
Bayesian Latent Factor Model for Higher-order Data ACML 2021
Matrix Product States for Inference in Discrete Probabilistic Models JMLR 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition ICCV 2021
Stochastic block model entropy and broadcasting on trees with survey COLT 2021
Nearest neighbor search under uncertainty UAI 2021
Sequential core-set Monte Carlo UAI 2021
Reasoning about Beliefs and Meta-Beliefs by Regression in an Expressive Probabilistic Action Logic IJCAI 2021
Bayesian time-aligned factor analysis of paired multivariate time series JMLR 2021
Entropy-based adaptive Hamiltonian Monte Carlo NIPS 2021
Variational Pedestrian Detection CVPR 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes ICML 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021