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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
Random Grid Neural Processes for Parametric Partial Differential Equations
ICML 2023
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases
IJCAI 2023
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
NIPS 2023
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
CVPR 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
IJCAI 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
CGS: Coupled Growth and Survival Model with Cohort Fairness
IJCAI 2023
Planning with Hidden Parameter Polynomial MDPs
AAAI 2023
Plausible Uncertainties for Human Pose Regression
ICCV 2023
Probabilistic Reasoning and Learning for Trustworthy AI
AAAI 2023
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach
IJCAI 2023
A Kernelized Stein Discrepancy for Biological Sequences
ICML 2023
Two-stage Kernel Bayesian Optimization in High Dimensions
UAI 2023
Semiparametric Inference Using Fractional Posteriors
JMLR 2023
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
NIPS 2023
Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates
JMLR 2023
Low Tree-Rank Bayesian Vector Autoregression Models
JMLR 2023
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
NIPS 2023
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
IJCAI 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching
ICCV 2023
The Importance of Calibration: Rethinking Confidence and Performance of Speech Multi-label Emotion Classifiers
INTERSPEECH 2023
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
CVPR 2023
Multi-view Collaborative Gaussian Process Dynamical Systems
JMLR 2023
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process
JMLR 2023
Prototype-oriented unsupervised anomaly detection for multivariate time series
ICML 2023
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