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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
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
CVPR 2025
Structure-Conditional Minimum Bayes Risk Decoding
EMNLP 2025
Bayesian Test-Time Adaptation for Vision-Language Models
CVPR 2025
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
EMNLP 2025
Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification
AAAI 2025
Model-based Large Language Model Customization as Service
EMNLP 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models
EMNLP 2025
Probabilistic Soundness Guarantees in LLM Reasoning Chains
EMNLP 2025
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
AAAI 2025
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework
AAAI 2025
Beyond the Score: Uncertainty-Calibrated LLMs for Automated Essay Assessment
EMNLP 2025
Surprise Calibration for Better In-Context Learning
EMNLP 2025
Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision
EMNLP 2025
Case-Based Decision-Theoretic Decoding with Quality Memories
EMNLP 2025
CDI: Copyrighted Data Identification in Diffusion Models
CVPR 2025
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling
CVPR 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
CVPR 2025
Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation
CVPR 2025
Adaptive Deep Learning from Crowds
IJCAI 2025
Identifying Drivers of Predictive Aleatoric Uncertainty
IJCAI 2025
Uncertainty-driven Partial Diacritization for Arabic Text
EMNLP 2025
Sample-aware Adaptive Structured Pruning for Large Language Models
AAAI 2025
Reference-Based Post-OCR Processing with LLM for Precise Diacritic Text in Historical Document Recognition
AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set
AAAI 2025
New Compilation Languages Based on Restricted Weak Decomposability
AAAI 2025
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