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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
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 subset selection and variable importance for interpretable prediction and classification
JMLR 2022
An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference
JMLR 2022
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations
JMLR 2022
Statistical Optimality and Stability of Tangent Transform Algorithms in Logit Models
JMLR 2022
Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression
JMLR 2022
Contraction rates for sparse variational approximations in Gaussian process regression
JMLR 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs
JMLR 2022
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
JMLR 2022
Gaussian Process Boosting
JMLR 2022
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets
JMLR 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure
JMLR 2022
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables
JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting
JMLR 2022
Variational Inference in high-dimensional linear regression
JMLR 2022
Tree-Values: Selective Inference for Regression Trees
JMLR 2022
Improving Bayesian Network Structure Learning in the Presence of Measurement Error
JMLR 2022
Fully General Online Imitation Learning
JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations
JMLR 2022
Approximate Bayesian Computation via Classification
JMLR 2022
Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process Learning
L4DC 2022
Neural Point Process for Learning Spatiotemporal Event Dynamics
L4DC 2022
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
L4DC 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
MLHC 2022
Aligning Generative Language Models with Human Values
NAACL 2022
Typological Word Order Correlations with Logistic Brownian Motion
NAACL 2022
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