经济因果论文趋势 2023–2026
政策评估
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 183 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 102 | 1 | 26 | 1 | 130 |
| 2024 | 5 | 3 | 2 | 0 | 10 |
| 2025 | 6 | 4 | 6 | 0 | 16 |
| 2026 | 4 | 5 | 17 | 1 | 27 |
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 26 篇，第 1 / 1 页
- ICML 2023A/B Testing in Network Data with Covariate-Adaptive Randomization
- ICML 2023Additive Causal Bandits with Unknown Graph
- ICML 2023An Instrumental Variable Approach to Confounded Off-Policy Evaluation
- ICML 2023Automatically marginalized MCMC in probabilistic programming
- ICML 2023B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
- ICML 2023Causal Modeling of Policy Interventions From Treatment–Outcome Sequences
- ICML 2023Constrained Causal Bayesian Optimization
- ICML 2023Continual Task Allocation in Meta-Policy Network via Sparse Prompting
- ICML 2023Correcting discount-factor mismatch in on-policy policy gradient methods
- ICML 2023Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
- ICML 2023DRCFS: Doubly Robust Causal Feature Selection
- ICML 2023Estimating Possible Causal Effects with Latent Variables via Adjustment
- ICML 2023Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making
- ICML 2023Fast Inference from Transformers via Speculative Decoding
- ICML 2023Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space
- ICML 2023Graph Inductive Biases in Transformers without Message Passing
- ICML 2023In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
- ICML 2023Inferring Relational Potentials in Interacting Systems
- ICML 2023Instrumental Variable Estimation of Average Partial Causal Effects
- ICML 2023Linear Causal Disentanglement via Interventions
- ICML 2023Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
- ICML 2023Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
- ICML 2023On Coresets for Clustering in Small Dimensional Euclidean spaces
- ICML 2023Online Local Differential Private Quantile Inference via Self-normalization
- ICML 2023Proximal Causal Learning of Conditional Average Treatment Effects
- ICML 2023Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查经济因果在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "causal-inference-econ"}
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。