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)

Bayesian Optimization with Gradients NIPS 2017
Bayesian Compression for Deep Learning NIPS 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference NIPS 2017
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NIPS 2017
Linearly constrained Gaussian processes NIPS 2017
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis NIPS 2017
Targeting EEG/LFP Synchrony with Neural Nets NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Probabilistic Rule Realization and Selection NIPS 2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning NIPS 2017
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models NIPS 2017
Concrete Dropout NIPS 2017
Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks NIPS 2017
Inference in Graphical Models via Semidefinite Programming Hierarchies NIPS 2017
Gauging Variational Inference NIPS 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity NIPS 2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach NIPS 2017
Scalable Log Determinants for Gaussian Process Kernel Learning NIPS 2017
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models NIPS 2017
GP CaKe: Effective brain connectivity with causal kernels NIPS 2017
Predicting User Activity Level In Point Processes With Mass Transport Equation NIPS 2017
Scalable Model Selection for Belief Networks NIPS 2017
Flexible statistical inference for mechanistic models of neural dynamics NIPS 2017
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons NIPS 2017