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← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Bayesian Inference
518 directly classified papers
Papers per year
2003: 1
2006: 14
2007: 12
2008: 10
2009: 12
2010: 9
2011: 13
2012: 18
2013: 32
2014: 20
2015: 8
2016: 28
2017: 21
2018: 22
2019: 40
2020: 42
2021: 41
2022: 51
2023: 36
2024: 58
2025: 30
Papers
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)
AAAI 2021
Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation
CVPR 2021
Online Learning of a Probabilistic and Adaptive Scene Representation
CVPR 2021
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning
AAAI 2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
ACL 2021
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
AAAI 2021
Bayesian Distributional Policy Gradients
AAAI 2021
Asynchronous $ε$-Greedy Bayesian Optimisation
UAI 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
UAI 2021
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example
AAAI 2021
Opponent Hand Estimation in the Game of Gin Rummy
AAAI 2021
Vector Quantized Bayesian Neural Network Inference for Data Streams
AAAI 2021
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
ACL 2021
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
AAAI 2021
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NIPS 2021
Bayesian Bellman Operators
NIPS 2021
A sampling-based circuit for optimal decision making
NIPS 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
NIPS 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Bias and variance of the Bayesian-mean decoder
NIPS 2021
Bayesian Quadrature on Riemannian Data Manifolds
ICML 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
SMIL: Multimodal Learning with Severely Missing Modality
AAAI 2021
Collapsed Variational Bounds for Bayesian Neural Networks
NIPS 2021
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