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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Bayesian Inference
4821 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 5
2004: 2
2005: 9
2006: 22
2007: 32
2008: 36
2009: 38
2010: 72
2011: 86
2012: 85
2013: 148
2014: 179
2015: 162
2016: 183
2017: 255
2018: 278
2019: 458
2020: 469
2021: 554
2022: 477
2023: 576
2024: 348
2025: 255
2026: 90
Papers
Neural ensemble search via Bayesian sampling
UAI 2022
PAC-Bayesian domain adaptation bounds for multiclass learners
UAI 2022
PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on $SE(3)$
UAI 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
MLHC 2022
Parallel Tempering With a Variational Reference
NIPS 2022
Implications of Model Indeterminacy for Explanations of Automated Decisions
NIPS 2022
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
NIPS 2022
Bayesian inference via sparse Hamiltonian flows
NIPS 2022
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
NIPS 2022
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
NIPS 2022
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
NIPS 2022
Do Bayesian variational autoencoders know what they don’t know?
UAI 2022
Efficient inference for dynamic topic modeling with large vocabularies
UAI 2022
Learning invariant weights in neural networks
UAI 2022
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
ACML 2022
Efficient and transferable adversarial examples from bayesian neural networks
UAI 2022
Variational multiple shooting for Bayesian ODEs with Gaussian processes
UAI 2022
BayesAdapter: Being Bayesian, Inexpensively and Reliably, via Bayesian Fine-tuning
ACML 2022
Empirical bayes approach to truth discovery problems
UAI 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes
NIPS 2022
Bayesian Persuasion for Algorithmic Recourse
NIPS 2022
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification
CLEAR 2022
Adversarial Interpretation of Bayesian Inference
ALT 2022
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces
NIPS 2022
Bayesian Phylogenetic Cognate Prediction
NAACL 2022
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