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Methodology
← Bayesian & Probabilistic
Machine Learning
›
Bayesian & Probabilistic
›
Bayesian Inference
1724 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 3
2004: 3
2005: 4
2006: 38
2007: 35
2008: 38
2009: 45
2010: 58
2011: 51
2012: 77
2013: 107
2014: 93
2015: 40
2016: 73
2017: 69
2018: 99
2019: 109
2020: 141
2021: 117
2022: 151
2023: 146
2024: 162
2025: 62
Papers
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
AAAI 2022
Streaming Inference for Infinite Feature Models
ICML 2022
Bayesian Classifier Fusion with an Explicit Model of Correlation
AISTATS 2022
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion
NIPS 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
JMLR 2022
Approximate Bayesian Computation via Classification
JMLR 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
JMLR 2022
Robust and Accurate Superquadric Recovery: A Probabilistic Approach
CVPR 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets
JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting
JMLR 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
JMLR 2022
Bayesian Invariant Risk Minimization
CVPR 2022
Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model
CVPR 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
JMLR 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
The AIM and EM Algorithms for Learning from Coarse Data
JMLR 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference
JMLR 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes
ICML 2022
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy
JMLR 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
JMLR 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes
JMLR 2022
Spatial Multivariate Trees for Big Data Bayesian Regression
JMLR 2022
Fast and Robust Rank Aggregation against Model Misspecification
JMLR 2022
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