处理效应论文趋势 2023–2026

ATE/CATE

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 385 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

处理效应论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023219331275
202432164018106
20253416311798
202644182717106

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

全部处理效应论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 385 篇，第 6 / 8 页

  1. ICML 2024Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
  2. ICML 2024Enabling Uncertainty Estimation in Iterative Neural Networks
  3. ICML 2024Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
  4. ICML 2024Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
  5. ICML 2024From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
  6. ICML 2024Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints
  7. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
  8. ICML 2024Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation
  9. ICML 2024Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
  10. ICML 2024Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
  11. ICML 2024Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
  12. ICML 2024Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
  13. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts
  14. ICML 2024Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
  15. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
  16. ICML 2024Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
  17. ICML 2024Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
  18. ICML 2024Predicting Dose-Response Curves with Deep Neural Networks
  19. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
  20. ICML 2024Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
  21. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
  22. ICML 2024Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
  23. ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
  24. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
  25. ICML 2024Sub-token ViT Embedding via Stochastic Resonance Transformers
  26. ICML 2024The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
  27. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
  28. ICML 2024Uncertainty Estimation by Density Aware Evidential Deep Learning
  29. NeurIPS 2024A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
  30. NeurIPS 2024An effective framework for estimating individualized treatment rules
  31. NeurIPS 2024Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
  32. NeurIPS 2024Breaking the curse of dimensionality in structured density estimation
  33. NeurIPS 2024Capturing the denoising effect of PCA via compression ratio
  34. NeurIPS 2024Causal Effect Identification in a Sub-Population with Latent Variables
  35. NeurIPS 2024Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects
  36. NeurIPS 2024Conditional Density Estimation with Histogram Trees
  37. NeurIPS 2024Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand
  38. NeurIPS 2024Conditional Outcome Equivalence: A Quantile Alternative to CATE
  39. NeurIPS 2024DiffPO: A causal diffusion model for learning distributions of potential outcomes
  40. NeurIPS 2024Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
  41. NeurIPS 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Data
  42. NeurIPS 2024Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
  43. NeurIPS 2024Hierarchical and Density-based Causal Clustering
  44. NeurIPS 2024Higher-Order Causal Message Passing for Experimentation with Complex Interference
  45. NeurIPS 2024Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
  46. NeurIPS 2024Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn
  47. NeurIPS 2024Local to Global: Learning Dynamics and Effect of Initialization for Transformers
  48. NeurIPS 2024LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect
  49. NeurIPS 2024Navigating the Effect of Parametrization for Dimensionality Reduction
  50. NeurIPS 2024On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

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 查处理效应在 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": "treatment-effect"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇处理效应论文？
共 385 篇，按年份分别是 2023 年 75 篇、2024 年 106 篇、2025 年 98 篇、2026 年 106 篇。
NeurIPS 2026 有多少篇处理效应论文？
NeurIPS 2026 有 44 篇处理效应论文，上一届是 34 篇。
ICLR 2026 有多少篇处理效应论文？
ICLR 2026 有 18 篇处理效应论文，上一届是 16 篇。
ICML 2026 有多少篇处理效应论文？
ICML 2026 有 27 篇处理效应论文，上一届是 31 篇。
CVPR 2026 有多少篇处理效应论文？
CVPR 2026 有 17 篇处理效应论文，上一届是 17 篇。
哪个会议的处理效应论文最多？
NeurIPS，2023–2026 年共 131 篇。

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