Causal Inference in Economics papers, 2023–2026

Key findings

• Causal Inference in Economics fell from 130 papers in 2023 to 27 in 2026, so interest is cooling.
• NeurIPS publishes the most Causal Inference in Economics work: 117 papers from 2023 to 2026, 64% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 12 in 2023 to 10 in 2026.
• Among the 5 topics under Finance and Economics, it ranks #2 by 2026 paper count; the fastest grower in the group, Macro Forecasting, is up 8.0x versus 0.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Causal Inference in Economics papers

183 papers, page 3 of 4

101. NeurIPS 2023Causal Discovery from Subsampled Time Series with Proxy Variables
102. NeurIPS 2023Causal Discovery in Semi-Stationary Time Series
103. NeurIPS 2023Causal Fairness for Outcome Control
104. NeurIPS 2023Causal Imitability Under Context-Specific Independence Relations
105. NeurIPS 2023Causal Interpretation of Self-Attention in Pre-Trained Transformers
106. NeurIPS 2023Causal normalizing flows: from theory to practice
107. NeurIPS 2023Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing
108. NeurIPS 2023Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks
109. NeurIPS 2023Change point detection and inference in multivariate non-parametric models under mixing conditions
110. NeurIPS 2023CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
111. NeurIPS 2023Common Ground in Cooperative Communication
112. NeurIPS 2023Conformal Meta-learners for Predictive Inference of Individual Treatment Effects
113. NeurIPS 2023Conformalized matrix completion
114. NeurIPS 2023Convex-Concave Zero-Sum Markov Stackelberg Games
115. NeurIPS 2023Counterfactual Evaluation of Peer-Review Assignment Policies
116. NeurIPS 2023Counterfactually Comparing Abstaining Classifiers
117. NeurIPS 2023CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
118. NeurIPS 2023Demystifying Softmax Gating Function in Gaussian Mixture of Experts
119. NeurIPS 2023Detecting hidden confounding in observational data using multiple environments
120. NeurIPS 2023Differentially Private Approximate Near Neighbor Counting in High Dimensions
121. NeurIPS 2023Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
122. NeurIPS 2023Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
123. NeurIPS 2023Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams
124. NeurIPS 2023Estimating Noise Correlations Across Continuous Conditions With Wishart Processes
125. NeurIPS 2023Fair Adaptive Experiments
126. NeurIPS 2023Finding Counterfactually Optimal Action Sequences in Continuous State Spaces
127. NeurIPS 2023Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
128. NeurIPS 2023Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
129. NeurIPS 2023Gaussian Membership Inference Privacy
130. NeurIPS 2023GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies
131. NeurIPS 2023Hierarchical VAEs provide a normative account of motion processing in the primate brain
132. NeurIPS 2023High Precision Causal Model Evaluation with Conditional Randomization
133. NeurIPS 2023Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space
134. NeurIPS 2023How do Minimum-Norm Shallow Denoisers Look in Function Space?
135. NeurIPS 2023IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
136. NeurIPS 2023Implicit Regularization in Over-Parameterized Support Vector Machine
137. NeurIPS 2023Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
138. NeurIPS 2023Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
139. NeurIPS 2023Learning Rate Free Sampling in Constrained Domains
140. NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
141. NeurIPS 2023Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
142. NeurIPS 2023Max-Margin Token Selection in Attention Mechanism
143. NeurIPS 2023Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
144. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
145. NeurIPS 2023Mode Connectivity in Auction Design
146. NeurIPS 2023Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
147. NeurIPS 2023Near-Optimal $k$-Clustering in the Sliding Window Model
148. NeurIPS 2023NeRF Revisited: Fixing Quadrature Instability in Volume Rendering
149. NeurIPS 2023Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
150. NeurIPS 2023On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails

FAQ

How many Causal Inference in Economics papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

183 in total: 130 in 2023, 10 in 2024, 16 in 2025, 27 in 2026.

How many Causal Inference in Economics papers are at NeurIPS 2026?

NeurIPS 2026 has 4 Causal Inference in Economics papers, versus 6 the year before.

How many Causal Inference in Economics papers are at ICLR 2026?

ICLR 2026 has 5 Causal Inference in Economics papers, versus 4 the year before.

How many Causal Inference in Economics papers are at ICML 2026?

ICML 2026 has 17 Causal Inference in Economics papers, versus 6 the year before.

How many Causal Inference in Economics papers are at CVPR 2026?

CVPR 2026 has 1 Causal Inference in Economics papers.

Which conference publishes the most Causal Inference in Economics papers?

NeurIPS, with 117 papers from 2023 to 2026.