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)

Markov equivalence of max-linear Bayesian networks UAI 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery UAI 2021
Orientation Probabilistic Movement Primitives on Riemannian Manifolds CORL 2021
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories MLHC 2021
Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data MLHC 2021
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021
Contraction L1-Adaptive Control using Gaussian Processes L4DC 2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction IJCAI 2021
Random Coordinate Underdamped Langevin Monte Carlo AISTATS 2021
Variational Weakly Supervised Sentiment Analysis with Posterior Regularization EACL 2021
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood COLT 2021
Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation With an Application to Psoriatic Arthritis Radiographs WACV 2021
Linear-Time Probabilistic Solution of Boundary Value Problems NIPS 2021
Perturb-and-max-product: Sampling and learning in discrete energy-based models NIPS 2021
Rao-Blackwellised parallel MCMC AISTATS 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Post-hoc loss-calibration for Bayesian neural networks UAI 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection CVPR 2021
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks AAAI 2021
MARTA: Leveraging Human Rationales for Explainable Text Classification AAAI 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data ICML 2021
On the Learnability of Knowledge in Multi-Agent Logics IJCAI 2021
Scalable gradient matching based on state space Gaussian Processes ACML 2021
Probabilistic Sufficient Explanations IJCAI 2021