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Causal Inference
523 directly classified papers
Papers per year
2007: 1
2008: 4
2009: 1
2010: 5
2011: 1
2012: 2
2013: 4
2014: 4
2015: 5
2016: 12
2017: 12
2018: 23
2019: 39
2020: 48
2021: 63
2022: 85
2023: 84
2024: 85
2025: 45
Papers
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data
NIPS 2024
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding
NIPS 2024
Hierarchical and Density-based Causal Clustering
NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science
NIPS 2024
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
NIPS 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
CVPR 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NIPS 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes
JMLR 2024
On the Misspecification of Linear Assumptions in Synthetic Controls
AISTATS 2024
Estimating treatment effects from single-arm trials via latent-variable modeling
AISTATS 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
Positivity-free Policy Learning with Observational Data
AISTATS 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
NIPS 2024
A/B testing under Interference with Partial Network Information
AISTATS 2024
Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
AAAI 2024
On the Actionability of Outcome Prediction
AAAI 2024
Rethinking Causal Relationships Learning in Graph Neural Networks
AAAI 2024
Discovering Heterogeneous Causal Effects in Relational Data
AAAI 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
AAAI 2024
Neural Causal Abstractions
AAAI 2024
ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation
AAAI 2024
Unit Selection with Nonbinary Treatment and Effect
AAAI 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
AAAI 2024
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