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 102 篇，第 2 / 3 页

51. NeurIPS 2023High Precision Causal Model Evaluation with Conditional Randomization
52. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
53. NeurIPS 2023How do Minimum-Norm Shallow Denoisers Look in Function Space?
54. NeurIPS 2023IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
55. NeurIPS 2023Implicit Regularization in Over-Parameterized Support Vector Machine
56. NeurIPS 2023Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
57. NeurIPS 2023Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
58. NeurIPS 2023Learning Rate Free Sampling in Constrained Domains
59. NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
60. NeurIPS 2023Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
61. NeurIPS 2023Max-Margin Token Selection in Attention Mechanism
62. NeurIPS 2023Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
63. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
64. NeurIPS 2023Mode Connectivity in Auction Design
65. NeurIPS 2023Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
66. NeurIPS 2023Near-Optimal $k$-Clustering in the Sliding Window Model
67. NeurIPS 2023NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
68. NeurIPS 2023Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
69. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails
70. NeurIPS 2023Optimal and Fair Encouragement Policy Evaluation and Learning
71. NeurIPS 2023Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
72. NeurIPS 2023Optimal Transport for Treatment Effect Estimation
73. NeurIPS 2023Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
74. NeurIPS 2023Optimal Treatment Regimes for Proximal Causal Learning
75. NeurIPS 2023Pairwise Causality Guided Transformers for Event Sequences
76. NeurIPS 2023Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
77. NeurIPS 2023Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint
78. NeurIPS 2023Persuading Farsighted Receivers in MDPs: the Power of Honesty
79. NeurIPS 2023Provable convergence guarantees for black-box variational inference
80. NeurIPS 2023Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
81. NeurIPS 2023Pseudo-Likelihood Inference
82. NeurIPS 2023PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference
83. NeurIPS 2023Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
84. NeurIPS 2023Reliable Off-Policy Learning for Dosage Combinations
85. NeurIPS 2023Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
86. NeurIPS 2023Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
87. NeurIPS 2023Segment Anything in 3D with NeRFs
88. NeurIPS 2023Segment Anything in High Quality
89. NeurIPS 2023Sharp Bounds for Generalized Causal Sensitivity Analysis
90. NeurIPS 2023Single-Stage Visual Query Localization in Egocentric Videos
91. NeurIPS 2023Speculative Decoding with Big Little Decoder
92. NeurIPS 2023Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
93. NeurIPS 2023Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
94. NeurIPS 2023The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes
95. NeurIPS 2023The Impact of Positional Encoding on Length Generalization in Transformers
96. NeurIPS 2023Time-uniform confidence bands for the CDF under nonstationarity
97. NeurIPS 2023Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity
98. NeurIPS 2023Tracking Most Significant Shifts in Nonparametric Contextual Bandits
99. NeurIPS 2023Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach
100. NeurIPS 2023Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent

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。