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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
Using Embeddings for Causal Estimation of Peer Influence in Social Networks
NIPS 2022
Robust Generalized Method of Moments: A Finite Sample Viewpoint
NIPS 2022
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment
NIPS 2022
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery
NIPS 2022
Active Bayesian Causal Inference
NIPS 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NIPS 2022
Truncated Matrix Power Iteration for Differentiable DAG Learning
NIPS 2022
Large-Scale Differentiable Causal Discovery of Factor Graphs
NIPS 2022
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
NIPS 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
NIPS 2022
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
NIPS 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning
NIPS 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
NIPS 2022
Off-Policy Evaluation with Deficient Support Using Side Information
NIPS 2022
Root Cause Analysis of Failures in Microservices through Causal Discovery
NIPS 2022
Anticipating Performativity by Predicting from Predictions
NIPS 2022
Factored Adaptation for Non-Stationary Reinforcement Learning
NIPS 2022
Finding and Listing Front-door Adjustment Sets
NIPS 2022
Doubly Robust Counterfactual Classification
NIPS 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
NIPS 2022
Learning from Stochastically Revealed Preference
NIPS 2022
Deep Counterfactual Estimation with Categorical Background Variables
NIPS 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
NIPS 2022
Cluster Randomized Designs for One-Sided Bipartite Experiments
NIPS 2022
Estimation and Optimization of Composite Outcomes
JMLR 2021
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