处理效应论文趋势 2023–2026

主要结论

• 处理效应论文从 2023 年的 75 篇增长到 2026 年的 106 篇，三年间扩大到约 1.4 倍。
• NeurIPS 是发处理效应论文最多的会议，2023–2026 年共 131 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是通用机器学习 · unsupervised and semisupervised learning：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 10 篇。
• 在「因果与公平」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的因果发现是 2.4 倍，处理效应是 1.4 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 2026Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
• ICML 2026Causal Effect Identifiability in the Presence of Latent Confounders Without Auxiliary Variables
• ICLR 2026ActiveCQ: Active Estimation of Causal Quantities
• CVPR 2026Event Stream Filtering via Probability Flux Estimation
• NeurIPS 2025Born a Transformer -- Always a Transformer? On the Effect of Pretraining on Architectural Abilities
• ICML 2025A Meta-learner for Heterogeneous Effects in Difference-in-Differences
• ICLR 2025Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables
• CVPR 2025Any6D: Model-free 6D Pose Estimation of Novel Objects
• NeurIPS 2024Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
• ICML 2024A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
• ICLR 2024A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
• CVPR 2024LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
• NeurIPS 2023An Efficient Doubly-Robust Test for the Kernel Treatment Effect
• ICML 2023A Three-regime Model of Network Pruning
• ICLR 2023Causal Estimation for Text Data with (Apparent) Overlap Violations
• CVPR 2023HRDFuse: Monocular 360deg Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions
• NeurIPS 2026Automated Causal Effect Estimation through Self-Evolving AI
• ICML 2026Causal-EPIG: Causally Aligned Active CATE Estimation
• ICLR 2026Foundation Models for Causal Inference via Prior-Data Fitted Networks
• CVPR 2026The Invisible Gorilla Effect in Out-of-distribution Detection

全部处理效应论文

共 131 篇，第 2 / 3 页

51. ICML 2025Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport
52. ICML 2025Sample Complexity of Branch-length Estimation by Maximum Likelihood
53. ICML 2025Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
54. ICML 2025Stronger Neyman Regret Guarantees for Adaptive Experimental Design
55. ICML 2025The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
56. ICML 2025The Double-Ellipsoid Geometry of CLIP
57. ICML 2025Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
58. ICML 2025Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means
59. ICML 2024A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
60. ICML 2024Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
61. ICML 2024Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
62. ICML 2024Automating the Selection of Proxy Variables of Unmeasured Confounders
63. ICML 2024Better Locally Private Sparse Estimation Given Multiple Samples Per User
64. ICML 2024By Tying Embeddings You Are Assuming the Distributional Hypothesis
65. ICML 2024Causal Effect Identification in LiNGAM Models with Latent Confounders
66. ICML 2024Causal Inference out of Control: Estimating Performativity without Treatment Randomization
67. ICML 2024Continuous Treatment Effects with Surrogate Outcomes
68. ICML 2024Density Ratio Estimation with Doubly Strong Robustness
69. ICML 2024DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
70. ICML 2024DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
71. ICML 2024Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
72. ICML 2024Enabling Uncertainty Estimation in Iterative Neural Networks
73. ICML 2024Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
74. ICML 2024Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective
75. ICML 2024From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
76. ICML 2024Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints
77. ICML 2024Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
78. ICML 2024Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation
79. ICML 2024Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
80. ICML 2024Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency
81. ICML 2024Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
82. ICML 2024Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
83. ICML 2024On Least Square Estimation in Softmax Gating Mixture of Experts
84. ICML 2024Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
85. ICML 2024PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
86. ICML 2024Parameter Estimation in DAGs from Incomplete Data via Optimal Transport
87. ICML 2024Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination
88. ICML 2024Predicting Dose-Response Curves with Deep Neural Networks
89. ICML 2024Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages
90. ICML 2024Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation
91. ICML 2024S$\Omega$I: Score-based O-INFORMATION Estimation
92. ICML 2024Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
93. ICML 2024Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
94. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
95. ICML 2024Sub-token ViT Embedding via Stochastic Resonance Transformers
96. ICML 2024The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks
97. ICML 2024Transitional Uncertainty with Layered Intermediate Predictions
98. ICML 2024Uncertainty Estimation by Density Aware Evidential Deep Learning
99. ICML 2023A Three-regime Model of Network Pruning
100. ICML 2023Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time

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。