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
On the rank of 2×2×2 probability tables
PGM 2022
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks
AAAI 2022
Parameterized Completeness Results for Bayesian Inference
PGM 2022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers
AISTATS 2022
Pixel Screening Based Intermediate Correction for Blind Deblurring
CVPR 2022
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
NeurIPS 2022
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments
NeurIPS 2022
Relevance for Robust Bayesian Network MAP-Explanations
PGM 2022
Risk bounds for aggregated shallow neural networks using Gaussian priors
COLT 2022
Robust Anytime Learning of Markov Decision Processes
NeurIPS 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
AISTATS 2022
Robust Neural Posterior Estimation and Statistical Model Criticism
NeurIPS 2022
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
ICLR 2022
Scale Mixtures of Neural Network Gaussian Processes
ICLR 2022
Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk
ACL 2022
Society of Agents: Regret Bounds of Concurrent Thompson Sampling
NeurIPS 2022
Speeding up approximate MAP by applying domain knowledge about relevant variables
PGM 2022
Structure learning algorithms for multidimensional continuous-time Bayesian network classifiers
PGM 2022
Temporal Knowledge Graph Completion with Approximated Gaussian Process Embedding
COLING 2022
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
The Fewer Splits are Better: Deconstructing Readability in Sentence Splitting
EMNLP 2022
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control
COLT 2022
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference
ACL 2022
Tractable Uncertainty for Structure Learning
ICML 2022
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
NeurIPS 2022