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Methodology
← Optimization & Theory
Machine Learning
›
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
Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity
EMNLP 2025
pEBR: A Probabilistic Approach to Embedding Based Retrieval
EMNLP 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
RSS 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
EMNLP 2025
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs
JMLR 2025
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
NAACL 2025
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
AAAI 2025
Diffusion Models for Attribution
AAAI 2025
EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization
AAAI 2025
Distilling Rule-based Knowledge into Large Language Models
COLING 2025
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
ICCV 2025
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
AAAI 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference
JMLR 2025
On Consistent Bayesian Inference from Synthetic Data
JMLR 2025
Bayesian Score Calibration for Approximate Models
JMLR 2025
On the Natural Gradient of the Evidence Lower Bound
JMLR 2025
Statistical field theory for Markov decision processes under uncertainty
JMLR 2025
Fine-Grained Change Point Detection for Topic Modeling with Pitman-Yor Process
JMLR 2025
PQR: Improving Dense Retrieval via Potential Query Modeling
ACL 2025
Label Calibration in Source Free Domain Adaptation
WACV 2025
Uncertainty-Guided Metric Learning without Labels
WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
WACV 2025
Uni-SLAM: Uncertainty-Aware Neural Implicit SLAM for Real-Time Dense Indoor Scene Reconstruction
WACV 2025
Inverse Problems with Diffusion Models: A MAP Estimation Perspective
WACV 2025
Bayesian Optimal Latent Projection for Noisy Image Restoration
WACV 2025
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