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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
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
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning
ICML 2022
Structured Stochastic Gradient MCMC
ICML 2022
PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
AISTATS 2022
Nonparametric Relational Models with Superrectangulation
AISTATS 2022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers
AISTATS 2022
Fully General Online Imitation Learning
JMLR 2022
Fast and Robust Rank Aggregation against Model Misspecification
JMLR 2022
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin?
WACV 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration
WACV 2022
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization
WACV 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs
AAAI 2022
Modeling Aleatoric Uncertainty for Camouflaged Object Detection
WACV 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
IJCAI 2022
BayCon: Model-agnostic Bayesian Counterfactual Generator
IJCAI 2022
Combining Constraint Solving and Bayesian Techniques for System Optimization
IJCAI 2022
On the Practicality of Deterministic Epistemic Uncertainty
ICML 2022
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference
ICML 2022
Hessian-Free High-Resolution Nesterov Acceleration For Sampling
ICML 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
ICML 2022
Deep Reference Priors: What is the best way to pretrain a model?
ICML 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation
ICML 2022
Encoding Probabilistic Graphical Models into Stochastic Boolean Satisfiability
IJCAI 2022
Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model
IJCAI 2022
Thompson Sampling for Bandit Learning in Matching Markets
IJCAI 2022
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering
IJCAI 2022
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