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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)

On Constrained Open-World Probabilistic Databases IJCAI 2019
Conditional Expectation Propagation UAI 2019
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models AISTATS 2019
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models NIPS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks RSS 2019
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019
Neural Network based Continuous Conditional Random Field for Fine-grained Crime Prediction IJCAI 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels ICCV 2019
Consistent Estimation given Missing Data PGM 2018
Bayesian Network Structure Learning with Side Constraints PGM 2018
A Savage-style Utility Theory for Belief Functions IJCAI 2018
Can Rumour Stance Alone Predict Veracity? COLING 2018
Distributionally Robust Graphical Models NIPS 2018
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data NIPS 2018
Social Media based Simulation Models for Understanding Disease Dynamics IJCAI 2018
pomegranate: Fast and Flexible Probabilistic Modeling in Python JMLR 2018
Learning and Inference in Hilbert Space with Quantum Graphical Models NIPS 2018
Scalable Generalized Dynamic Topic Models AISTATS 2018
Structured Inference for Recurrent Hidden Semi-markov Model IJCAI 2018
Learning Continuous Time Bayesian Networks in Non-stationary Domains IJCAI 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018
Stein Variational Gradient Descent as Moment Matching NIPS 2018
Identification of Alias Links among Participants in Narratives ACL 2018
Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement INTERSPEECH 2018