conftrace_
← Artificial Intelligence
Artificial Intelligence ›

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

1
9
114
135
395
144
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Significance of Gradient Information in Bayesian Optimization AISTATS 2021
Predictive Complexity Priors AISTATS 2021
Geometric convergence of elliptical slice sampling ICML 2021
What Are Bayesian Neural Network Posteriors Really Like? ICML 2021
Continuous Latent Process Flows NIPS 2021
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach MLHC 2021
Probabilistic Discriminative Models address the Tactile Perceptual Aliasing Problem RSS 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization AAAI 2021
Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021
Partially Observed Exchangeable Modeling ICML 2021
Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling AAAI 2021
Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021
DeepGEM: Generalized Expectation-Maximization for Blind Inversion NIPS 2021
Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021
Latent variable modeling with random features AISTATS 2021
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NIPS 2021
A variational approximation for analyzing the dynamics of panel data UAI 2021
A generative nonparametric Bayesian model for whole genomes NIPS 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection IJCNLP 2021
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations NIPS 2021
Bias and variance of the Bayesian-mean decoder NIPS 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021