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Methodology
← Bayesian & Probabilistic
Artificial Intelligence
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Bayesian & Probabilistic
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Probabilistic Modeling
2591 directly classified papers
Papers per year
2000: 1
2001: 1
2002: 2
2003: 3
2004: 3
2005: 8
2006: 31
2007: 34
2008: 43
2009: 38
2010: 78
2011: 56
2012: 76
2013: 94
2014: 103
2015: 87
2016: 118
2017: 128
2018: 149
2019: 227
2020: 232
2021: 265
2022: 218
2023: 256
2024: 198
2025: 84
2026: 58
Papers
Contraction rates for sparse variational approximations in Gaussian process regression
JMLR 2022
Hardness of Maximum Likelihood Learning of DPPs
COLT 2022
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
COLT 2022
EM’s Convergence in Gaussian Latent Tree Models
COLT 2022
Bias aware probabilistic Boolean matrix factorization
UAI 2022
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
EMNLP 2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
EMNLP 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior
NIPS 2022
VaiPhy: a Variational Inference Based Algorithm for Phylogeny
NIPS 2022
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
CORL 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models
CORL 2022
Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes
CORL 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
AISTATS 2022
Aligned Multi-Task Gaussian Process
AISTATS 2022
Flow-Adapter Architecture for Unsupervised Machine Translation
ACL 2022
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support
NIPS 2022
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
NIPS 2022
Marginalising over Stationary Kernels with Bayesian Quadrature
AISTATS 2022
Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case Study
L4DC 2022
Forecasting Characteristic 3D Poses of Human Actions
CVPR 2022
Foundation Posteriors for Approximate Probabilistic Inference
NIPS 2022
Strictly Proper Contract Functions Can Be Arbitrage-Free
AAAI 2022
A Probabilistic Framework for Land Deformation Prediction (Student Abstract)
AAAI 2022
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture
NIPS 2022
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows
UAI 2022
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