Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← 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
Structure-Conditional Minimum Bayes Risk Decoding
EMNLP 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
JMLR 2025
Combining Climate Models using Bayesian Regression Trees and Random Paths
JMLR 2025
Bayesian Score Calibration for Approximate Models
JMLR 2025
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment
EMNLP 2025
Relaxed Gaussian Process Interpolation: a Goal-Oriented Approach to Bayesian Optimization
JMLR 2025
Derivative-Informed Neural Operator Acceleration of Geometric MCMC for Infinite-Dimensional Bayesian Inverse Problems
JMLR 2025
Statistical field theory for Markov decision processes under uncertainty
JMLR 2025
Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior
JMLR 2025
Degree of Interference: A General Framework For Causal Inference Under Interference
JMLR 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media
NAACL 2025
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions
JMLR 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
JMLR 2025
Bayesian-Inspired Space-Time Superpixels
ICCV 2025
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
ICCV 2025
Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration
ICCV 2025
Do We Know What LLMs Don’t Know? A Study of Consistency in Knowledge Probing
EMNLP 2025
FlowDPS : Flow-Driven Posterior Sampling for Inverse Problems
ICCV 2025
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
AAAI 2025
Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training
EMNLP 2025
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
EMNLP 2025
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
EMNLP 2025
Adaptive Preference Optimization with Uncertainty-aware Utility Anchor
EMNLP 2025
PatchFinder: Leveraging Visual Language Models for Accurate Information Retrieval using Model Uncertainty
WACV 2025
<
1
…
11
12
13
…
193
>