Bayesian Inference
1,087 papers
Papers per year
1
28
33
40
39
33
38
52
63
58
43
49
23
27
48
52
52
67
55
94
91
101
'10
'15
'20
'25
Papers
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)
AAAI 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation
CVPR 2021
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
AAAI 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
UAI 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning
ICLR 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
NeurIPS 2021
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network
CVPR 2021
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
UAI 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
NeurIPS 2021
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
ICLR 2021
Geometric convergence of elliptical slice sampling
ICML 2021
Getting a CLUE: A Method for Explaining Uncertainty Estimates
ICLR 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
ICML 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NeurIPS 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference
AAAI 2021
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection
CVPR 2021
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
NeurIPS 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
NeurIPS 2021
MOTS: Minimax Optimal Thompson Sampling
ICML 2021
Nonparametric Hamiltonian Monte Carlo
ICML 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound
COLT 2021
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
On the Suboptimality of Thompson Sampling in High Dimensions
NeurIPS 2021