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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Bayesian Inference
4,821 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
Bayesian Phylogenetic Cognate Prediction
NAACL 2022
Privid: Practical, Privacy-Preserving Video Analytics Queries
NSDI 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound
PGM 2022
Parameterized Completeness Results for Bayesian Inference
PGM 2022
Scalable Bayesian Network Structure Learning with Splines
PGM 2022
Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling
PGM 2022
AK: Attentive Kernel for Information Gathering
RSS 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
RSS 2022
Understanding Dynamic Tactile Sensing for Liquid Property Estimation
RSS 2022
ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection
SEMEVAL 2022
Empirical bayes approach to truth discovery problems
UAI 2022
A geometric method for improved uncertainty estimation in real-time
UAI 2022
On provably robust meta-Bayesian optimization
UAI 2022
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
Bayesian spillover graphs for dynamic networks
UAI 2022
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison
UAI 2022
Self-distribution distillation: efficient uncertainty estimation
UAI 2022
Do Bayesian variational autoencoders know what they don’t know?
UAI 2022
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets
UAI 2022
Efficient and transferable adversarial examples from bayesian neural networks
UAI 2022
Variational multiple shooting for Bayesian ODEs with Gaussian processes
UAI 2022
Fast predictive uncertainty for classification with Bayesian deep networks
UAI 2022
Interpolating between sampling and variational inference with infinite stochastic mixtures
UAI 2022
Recursive Monte Carlo and variational inference with auxiliary variables
UAI 2022
PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on $SE(3)$
UAI 2022
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