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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
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Quasi-Monte Carlo Quasi-Newton in Variational Bayes
JMLR 2021
Bayesian time-aligned factor analysis of paired multivariate time series
JMLR 2021
Tractable Approximate Gaussian Inference for Bayesian Neural Networks
JMLR 2021
Learning Bayesian Networks from Ordinal Data
JMLR 2021
Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach
L4DC 2021
Contraction L1-Adaptive Control using Gaussian Processes
L4DC 2021
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
L4DC 2021
An MRF-UNet Product of Experts for Image Segmentation
MIDL 2021
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
MIDL 2021
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction
MLHC 2021
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
MLHC 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
NAACL 2021
Posterior Differential Regularization with f-divergence for Improving Model Robustness
NAACL 2021
Using Psychologically-Informed Priors for Suicide Prediction in the CLPsych 2021 Shared Task
NAACL 2021
Private Release of Text Embedding Vectors
NAACL 2021
Bayesian Deep Graph Matching for Correspondence Identification in Collaborative Perception
RSS 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting
RSS 2021
Dual Online Stein Variational Inference for Control and Dynamics
RSS 2021
Variational Inference MPC using Tsallis Divergence
RSS 2021
Continuous Integration over SO(3) for IMU Preintegration
RSS 2021
Proceedings of the thirty-seventh conference on Uncertainty in Artificial Intelligence — Preface
UAI 2021
The neural moving average model for scalable variational inference of state space models
UAI 2021
Efficient debiased evidence estimation by multilevel Monte Carlo sampling
UAI 2021
Variational inference with continuously-indexed normalizing flows
UAI 2021
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