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← Optimization & Theory
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Optimization & Theory
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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
Low-Entropy Watermark Detection via Bayes’ Rule Derived Detector
ACL 2025
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
RSS 2025
Bayesian Optimization for Controlled Image Editing via LLMs
ACL 2025
The Lessons of Developing Process Reward Models in Mathematical Reasoning
ACL 2025
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision
EMNLP 2025
Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation
RSS 2025
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction
RSS 2025
DeFine: Decision-Making with Analogical Reasoning over Factor Profiles
ACL 2025
Towards Multi-System Log Anomaly Detection
ACL 2025
Efficient Out-of-Scope Detection in Dialogue Systems via Uncertainty-Driven LLM Routing
ACL 2025
BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios
ACL 2025
Advancing African-Accented English Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR Models
ACL 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
A Variational Approach for Mitigating Entity Bias in Relation Extraction
ACL 2025
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding
ACL 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
ACL 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
ACL 2025
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values
ACL 2025
Towards Harmonized Uncertainty Estimation for Large Language Models
ACL 2025
AgentRM: Enhancing Agent Generalization with Reward Modeling
ACL 2025
Theoretical Guarantees for Minimum Bayes Risk Decoding
ACL 2025
MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction
ACL 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025
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