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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)

Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics MLHC 2019
Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering ICML 2019
Mutually Regressive Point Processes NIPS 2019
DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures ICML 2019
Doubly Semi-Implicit Variational Inference AISTATS 2019
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019
Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement ICCV 2019
Learning to Address Health Inequality in the United States with a Bayesian Decision Network AAAI 2019
Tensorial Change Analysis Using Probabilistic Tensor Regression AAAI 2019
Bayesian Optimization with Unknown Search Space NIPS 2019
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019
AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers CORL 2019
Nonparametric Bayesian Deep Networks with Local Competition ICML 2019
Generalized Maximum Entropy Estimation JMLR 2019
Combining Generative and Discriminative Models for Hybrid Inference NIPS 2019
Adaptive Gaussian Copula ABC AISTATS 2019
Scalable Deep Generative Relational Model with High-Order Node Dependence NIPS 2019
A Latent Variational Framework for Stochastic Optimization NIPS 2019
Learning Determinantal Point Processes by Corrective Negative Sampling AISTATS 2019
Understanding Priors in Bayesian Neural Networks at the Unit Level ICML 2019
Variational Bayes under Model Misspecification NIPS 2019
A Probabilistic Logic for Resource-Bounded Multi-Agent Systems IJCAI 2019
Switching Linear Dynamics for Variational Bayes Filtering ICML 2019
Bayesian Generative Active Deep Learning ICML 2019
Theoretical guarantees for sampling and inference in generative models with latent diffusions COLT 2019