Risk Modeling papers, 2023–2026

Key findings

• Risk Modeling went from 15 papers in 2023 to 48 in 2026, roughly 3.2x in three years.
• NeurIPS publishes the most Risk Modeling work: 47 papers from 2023 to 2026, 41% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 4 in 2023 to 12 in 2026.
• Among the 5 topics under Finance and Economics, it ranks #1 by 2026 paper count; the fastest grower in the group, Macro Forecasting, is up 8.0x versus 3.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Risk Modeling papers

26 papers, page 1 of 1

1. CVPR 2024PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization
2. CVPR 2024Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling
3. CVPR 2024Self-Calibrating Vicinal Risk Minimisation for Model Calibration
4. CVPR 2024Task-Driven Wavelets using Constrained Empirical Risk Minimization
5. CVPR 2024XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images
6. ICLR 2024Conformal Risk Control
7. ICLR 2024Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
8. ICLR 2024Non-Exchangeable Conformal Risk Control
9. ICLR 2024Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
10. ICLR 2024SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
11. ICML 2024Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
12. ICML 2024Differentially Private Worst-group Risk Minimization
13. ICML 2024Invariant Risk Minimization Is A Total Variation Model
14. ICML 2024On the Asymptotic Distribution of the Minimum Empirical Risk
15. ICML 2024Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
16. ICML 2024Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI
17. ICML 2024Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation
18. ICML 2024Risk Aware Benchmarking of Large Language Models
19. ICML 2024Risk-Sensitive Reward-Free Reinforcement Learning with CVaR
20. ICML 2024Stereo Risk: A Continuous Modeling Approach to Stereo Matching
21. NeurIPS 2024$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
22. NeurIPS 2024Evaluating language models as risk scores
23. NeurIPS 2024Fast yet Safe: Early-Exiting with Risk Control
24. NeurIPS 2024Risk-sensitive control as inference with Rényi divergence
25. NeurIPS 2024Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
26. NeurIPS 2024Universal Rates of Empirical Risk Minimization

FAQ

How many Risk Modeling papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

115 in total: 15 in 2023, 26 in 2024, 26 in 2025, 48 in 2026.

How many Risk Modeling papers are at NeurIPS 2026?

NeurIPS 2026 has 25 Risk Modeling papers, versus 9 the year before.

How many Risk Modeling papers are at ICLR 2026?

ICLR 2026 has 6 Risk Modeling papers, versus 9 the year before.

How many Risk Modeling papers are at ICML 2026?

ICML 2026 has 14 Risk Modeling papers, versus 8 the year before.

How many Risk Modeling papers are at CVPR 2026?

CVPR 2026 has 3 Risk Modeling papers.

Which conference publishes the most Risk Modeling papers?

NeurIPS, with 47 papers from 2023 to 2026.