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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
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
Opponent Hand Estimation in the Game of Gin Rummy
AAAI 2021
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation
NIPS 2021
Bias and variance of the Bayesian-mean decoder
NIPS 2021
AGENT: A Benchmark for Core Psychological Reasoning
ICML 2021
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract)
AAAI 2021
Collapsed Variational Bounds for Bayesian Neural Networks
NIPS 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators
IJCAI 2021
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models
NIPS 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions
NIPS 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification
NIPS 2021
Geometric convergence of elliptical slice sampling
ICML 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
ICML 2021
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings
AAAI 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
NIPS 2021
Low Resource Sequence Tagging with Weak Labels
AAAI 2020
Bayesian Attention Modules
NIPS 2020
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
ICML 2020
Meta-trained agents implement Bayes-optimal agents
NIPS 2020
Baxter Permutation Process
NIPS 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization
JMLR 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
NIPS 2020
Domain Adaptation as a Problem of Inference on Graphical Models
NIPS 2020
Correcting Predictions for Approximate Bayesian Inference
AAAI 2020
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