经济因果论文趋势 2023–2026

主要结论

• 经济因果论文从 2023 年的 130 篇降到 2026 年的 27 篇，热度在回落。
• NeurIPS 是发经济因果论文最多的会议，2023–2026 年共 117 篇，占四个会议总量的 64%。
• 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 12 篇增至 2026 年的 10 篇。
• 在「金融与经济」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的宏观预测是 8.0 倍，经济因果是 0.2 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 2026Characterizing Underrepresentation in Generalizing Causal Survival Estimates
• ICML 2026Independent Component Discovery in Temporal Count Data
• ICLR 2026Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
• CVPR 2026COPO Causal-Oriented Policy Optimization for Hallucinations of MLLMs
• NeurIPS 2025Causal Explanation-Guided Learning for Organ Allocation
• ICML 2025Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
• ICLR 2025Incremental Causal Effect for Time to Treatment Initialization
• NeurIPS 2024Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
• ICML 2024Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
• ICLR 2024Learning in reverse causal strategic environments with ramifications on two sided markets
• NeurIPS 2023A Cross-Moment Approach for Causal Effect Estimation
• ICML 2023B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
• ICLR 2023Causal Imitation Learning via Inverse Reinforcement Learning
• CVPR 2023ECON: Explicit Clothed Humans Optimized via Normal Integration
• NeurIPS 2026Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk
• ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
• ICLR 2026Foundation Models for Causal Inference via Prior-Data Fitted Networks
• NeurIPS 2025Pessimistic Data Integration for Policy Evaluation
• ICML 2025Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
• ICLR 2025Efficient Causal Decision Making with One-sided Feedback

全部经济因果论文

共 17 篇，第 1 / 1 页

1. ICML 2026Active Policy Optimization for Individualized Dosing via Gradient Variance Minimization
2. ICML 2026COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs
3. ICML 2026Ekka: Automated Diagnosis of Silent Errors in LLM Inference
4. ICML 2026Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
5. ICML 2026Fast-SAM3D: 3Dfy Anything in Images but Faster
6. ICML 2026Gradient-Based Causal Tree Ensembles: A Backbone Architecture for Heterogeneous Treatment Effects
7. ICML 2026HodgeFlow Policy Search by Topologically Dissecting Temporal-Difference Signals in Non-Markovian Environments
8. ICML 2026Independent Component Discovery in Temporal Count Data
9. ICML 2026Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
10. ICML 2026Off-Policy Evaluation for Missingness-Aware Policies in MDPs with Rewards Missing Not at Random
11. ICML 2026REG: In-Sample RL via Regularizing the Evaluation Gap
12. ICML 2026ScoreMatchingRiesz: Score Matching for Debiased Machine Learning and Policy Path Estimation
13. ICML 2026Smooth Multi-Policy Causal Effect Estimation in Longitudinal Settings
14. ICML 2026SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbooks
15. ICML 2026Target-Driven Policy Optimization for Sequential Counterfactual Outcome Control
16. ICML 2026Towards a Holistic Understanding of Selection Bias for Causal Effect Identification
17. ICML 2026Uncovering Bias Mechanisms in Observational Studies

常见问题

2023–2026 年四大会议一共有多少篇经济因果论文？

共 183 篇，按年份分别是 2023 年 130 篇、2024 年 10 篇、2025 年 16 篇、2026 年 27 篇。

NeurIPS 2026 有多少篇经济因果论文？

NeurIPS 2026 有 4 篇经济因果论文，上一届是 6 篇。

ICLR 2026 有多少篇经济因果论文？

ICLR 2026 有 5 篇经济因果论文，上一届是 4 篇。

ICML 2026 有多少篇经济因果论文？

ICML 2026 有 17 篇经济因果论文，上一届是 6 篇。

CVPR 2026 有多少篇经济因果论文？

CVPR 2026 有 1 篇经济因果论文。

哪个会议的经济因果论文最多？

NeurIPS，2023–2026 年共 117 篇。