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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)

When random initializations help: a study of variational inference for community detection JMLR 2021
Location Trace Privacy Under Conditional Priors AISTATS 2021
GemBag: Group Estimation of Multiple Bayesian Graphical Models JMLR 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect NIPS 2021
State-Based Recurrent SPMNs for Decision-Theoretic Planning under Partial Observability IJCAI 2021
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021
Probabilistic task modelling for meta-learning UAI 2021
Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021
Lifted reasoning meets weighted model integration UAI 2021
Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021
Bayesian Structural Adaptation for Continual Learning ICML 2021
Handling Overlaps When Lifting Gaussian Bayesian Networks IJCAI 2021
Nonparametric Decomposition of Sparse Tensors ICML 2021
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021
Higher-order Derivatives of Weighted Finite-state Machines IJCNLP 2021
Black-box density function estimation using recursive partitioning ICML 2021
Neural Temporal Point Processes: A Review IJCAI 2021
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021
Quantile Propagation for Wasserstein-Approximate Gaussian Processes NIPS 2020
Scalable Probabilistic Matrix Factorization with Graph-Based Priors AAAI 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NIPS 2020
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation CVPR 2020
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence CVPR 2020