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← Bayesian & Probabilistic
Machine Learning
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Bayesian & Probabilistic
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Bayesian Inference
1724 directly classified papers
Papers per year
2001: 2
2002: 1
2003: 3
2004: 3
2005: 4
2006: 38
2007: 35
2008: 38
2009: 45
2010: 58
2011: 51
2012: 77
2013: 107
2014: 93
2015: 40
2016: 73
2017: 69
2018: 99
2019: 109
2020: 141
2021: 117
2022: 151
2023: 146
2024: 162
2025: 62
Papers
Seal Your Backdoor with Variational Defense
ICCV 2025
Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization
EMNLP 2025
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
CVPR 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising
ICCV 2025
Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
ICCV 2025
On the Same Wavelength? Evaluating Pragmatic Reasoning in Language Models across Broad Concepts
EMNLP 2025
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
ICCV 2025
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
CVPR 2025
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring
WACV 2025
A Bayesian Approach to Inferring Prerequisite Structures and Topic Difficulty in Language Learning
ACL 2025
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
ACL 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo
JMLR 2025
Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds
JMLR 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference
JMLR 2025
Statistical Inference of Random Graphs With a Surrogate Likelihood Function
JMLR 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
AAAI 2025
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
AAAI 2025
Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks
AAAI 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
AAAI 2025
Learnability of Parameter-Bounded Bayes Nets
AAAI 2025
Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
AAAI 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
AAAI 2025
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy
AAAI 2025
Time Series Supplier Allocation via Deep Black-Litterman Model
AAAI 2025
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