风险建模论文趋势 2023–2026

主要结论

• 风险建模论文从 2023 年的 15 篇增长到 2026 年的 48 篇，三年间扩大到约 3.2 倍。
• NeurIPS 是发风险建模论文最多的会议，2023–2026 年共 47 篇，占四个会议总量的 41%。
• 交叉方向里涨得最快的是强化学习：同时属于两个主题的论文从 2023 年的 4 篇增至 2026 年的 12 篇。
• 在「金融与经济」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的宏观预测是 8.0 倍，风险建模是 3.2 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026CCTimeBoost: Learning Time-Varying Relative Risk with Case-Control Boosted Trees
• ICML 2026A Machine-Learned Comorbidity Index
• ICLR 2026SAFER: Risk-Constrained Sample-then-Filter in Large Language Models
• CVPR 2026Spectral Conformal Risk Control Distribution-Free Tail Guarantees via Bayesian Quadrature
• NeurIPS 2025Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
• ICML 2025Compositional Risk Minimization
• ICLR 2025Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
• NeurIPS 2024Evaluating language models as risk scores
• ICML 2024Differentially Private Worst-group Risk Minimization
• ICLR 2024SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
• CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
• NeurIPS 2023Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
• ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
• ICLR 2023Avoiding spurious correlations via logit correction
• NeurIPS 2026Hidden Tails: Certifying Tail-Risk Claims under Selective Labels
• ICML 2026Disentangling Latent Risk Pathways via Bayesian Hypergraph Inference
• ICLR 2026Conformalized Decision Risk Assessment
• CVPR 2026CoRiM Conflict-driven Risk Minimization for Dynamic Multimodal Fusion
• NeurIPS 2025Risk Bounds For Distributional Regression
• ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning

全部风险建模论文

共 26 篇，第 1 / 1 页

1. ICLR 2025BingoGuard: LLM Content Moderation Tools with Risk Levels
2. ICLR 2025Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
3. ICLR 2025From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
4. ICLR 2025Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Power
5. ICLR 2025Group Distributionally Robust Dataset Distillation with Risk Minimization
6. ICLR 2025Model Risk-sensitive Offline Reinforcement Learning
7. ICLR 2025Out-of-distribution Generalization for Total Variation based Invariant Risk Minimization
8. ICLR 2025Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure?
9. ICLR 2025Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples
10. ICML 2025A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
11. ICML 2025Compositional Risk Minimization
12. ICML 2025Hypothesis Testing for Generalized Thurstone Models
13. ICML 2025Nearly Optimal Sample Complexity for Learning with Label Proportions
14. ICML 2025Position: Humanity Faces Existential Risk from Gradual Disempowerment
15. ICML 2025Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
16. ICML 2025QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions
17. ICML 2025Structure-informed Risk Minimization for Robust Ensemble Learning
18. NeurIPS 2025Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel–Young Losses
19. NeurIPS 2025Generating Informative Samples for Risk-Averse Fine-Tuning of Downstream Tasks
20. NeurIPS 2025Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
21. NeurIPS 2025Performative Risk Control: Calibrating Models for Reliable Deployment under Performativity
22. NeurIPS 2025Risk Bounds For Distributional Regression
23. NeurIPS 2025Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
24. NeurIPS 2025Risk-Averse Total-Reward Reinforcement Learning
25. NeurIPS 2025Subsampled Ensemble Can Improve Generalization Tail Exponentially
26. NeurIPS 2025Towards Evaluating Proactive Risk Awareness of Multimodal Language Models

常见问题

2023–2026 年四大会议一共有多少篇风险建模论文？

共 115 篇，按年份分别是 2023 年 15 篇、2024 年 26 篇、2025 年 26 篇、2026 年 48 篇。

NeurIPS 2026 有多少篇风险建模论文？

NeurIPS 2026 有 25 篇风险建模论文，上一届是 9 篇。

ICLR 2026 有多少篇风险建模论文？

ICLR 2026 有 6 篇风险建模论文，上一届是 9 篇。

ICML 2026 有多少篇风险建模论文？

ICML 2026 有 14 篇风险建模论文，上一届是 8 篇。

CVPR 2026 有多少篇风险建模论文？

CVPR 2026 有 3 篇风险建模论文。

哪个会议的风险建模论文最多？

NeurIPS，2023–2026 年共 47 篇。