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 15 篇，第 1 / 1 页

1. ICLR 2023Avoiding spurious correlations via logit correction
2. ICLR 2023Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
3. ICML 2023Evaluating Self-Supervised Learning via Risk Decomposition
4. ICML 2023Fast Excess Risk Rates via Offset Rademacher Complexity
5. ICML 2023How to address monotonicity for model risk management?
6. ICML 2023How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
7. ICML 2023Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
8. ICML 2023On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures
9. NeurIPS 2023GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints
10. NeurIPS 2023Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition
11. NeurIPS 2023Minimum-Risk Recalibration of Classifiers
12. NeurIPS 2023One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning
13. NeurIPS 2023Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression
14. NeurIPS 2023Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
15. NeurIPS 2023The probability flow ODE is provably fast

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。