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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)

EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association ICCV 2019
The Interplay of Emotions and Norms in Multiagent Systems IJCAI 2019
Generic Inference in Latent Gaussian Process Models JMLR 2019
Probabilistic Logic Programming with Beta-Distributed Random Variables AAAI 2019
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation IJCAI 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Evidence-based Trustworthiness ACL 2019
Sparse Variational Inference: Bayesian Coresets from Scratch NIPS 2019
Differentially Private Bayesian Linear Regression NIPS 2019
Pseudo-Extended Markov chain Monte Carlo NIPS 2019
Discovering Latent Covariance Structures for Multiple Time Series ICML 2019
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning IJCAI 2019
Maximum a posteriori Speech Enhancement Based on Double Spectrum INTERSPEECH 2019
The Functional Neural Process NIPS 2019
Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes NIPS 2019
On the Hardness of Probabilistic Inference Relaxations AAAI 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints AISTATS 2019
Minimum Stein Discrepancy Estimators NIPS 2019
Sketching for Latent Dirichlet-Categorical Models AISTATS 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range CVPR 2019
Exact Gaussian Processes on a Million Data Points NIPS 2019
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems ICML 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction ACL 2019
Replica Conditional Sequential Monte Carlo ICML 2019
Offline Contextual Bayesian Optimization NIPS 2019