Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1151–1175 of 1722 papers

Title	Date	Tasks	Status
Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures	Oct 24, 2021	Causal Inference	CodeCode Available
Partially Intervenable Causal Models	Oct 24, 2021	Causal Inference	—Unverified
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?	Oct 22, 2021	Causal Inference	CodeCode Available
A Taxonomy for Inference in Causal Model Families	Oct 22, 2021	Causal Inferencemodel	—Unverified
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox	Oct 21, 2021	Causal InferenceDecision Making	—Unverified
fairadapt: Causal Reasoning for Fair Data Pre-processing	Oct 19, 2021	AttributeBIG-bench Machine Learning	—Unverified
Private measurement of nonlinear correlations between data hosted across multiple parties	Oct 19, 2021	Causal Inference	—Unverified
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang	Oct 16, 2021	Causal DiscoveryCausal Inference	—Unverified
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community	Oct 15, 2021	Causal Inference	—Unverified
Causal Identification with Additive Noise Models: Quantifying the Effect of Noise	Oct 15, 2021	Causal DiscoveryCausal Identification	—Unverified
Variance Minimization in the Wasserstein Space for Invariant Causal Prediction	Oct 13, 2021	Causal DiscoveryCausal Inference	CodeCode Available
Causal Discovery from Conditionally Stationary Time Series	Oct 12, 2021	Causal DiscoveryCausal Inference	—Unverified
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data	Oct 11, 2021	Causal Inference	—Unverified
β-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap	Oct 11, 2021	Causal Inference	—Unverified
High-dimensional Inference for Dynamic Treatment Effects	Oct 10, 2021	Causal InferenceVocal Bursts Intensity Prediction	—Unverified
A Primer on Deep Learning for Causal Inference	Oct 9, 2021	Causal InferenceDeep Learning	CodeCode Available
Many Proxy Controls	Oct 8, 2021	Causal Inference	—Unverified
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP	Oct 7, 2021	Causal InferenceDomain Adaptation	CodeCode Available
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication	Oct 4, 2021	Causal Inference	CodeCode Available
Estimating Potential Outcome Distributions with Collaborating Causal Networks	Oct 4, 2021	Causal InferenceDecision Making	—Unverified
Hierarchical Gaussian Process Models for Regression Discontinuity/Kink under Sharp and Fuzzy Designs	Oct 3, 2021	Causal Inferenceregression	—Unverified
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach	Oct 3, 2021	Causal Inferencecounterfactual	CodeCode Available
Towards Principled Causal Effect Estimation by Deep Identifiable Models	Sep 30, 2021	Causal Inference	—Unverified
Minimizing Memorization in Meta-learning: A Causal Perspective	Sep 29, 2021	Causal InferenceMemorization	—Unverified
Generating High-Fidelity Privacy-Conscious Synthetic Patient Data for Causal Effect Estimation with Multiple Treatments	Sep 29, 2021	Causal Inference	—Unverified

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified