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 1451–1475 of 1722 papers

Title	Date	Tasks	Status	Hype
Large Dimensional Latent Factor Modeling with Missing Observations and Applications to Causal Inference	Oct 18, 2019	Causal Inferencecounterfactual	—Unverified	0
Masked Gradient-Based Causal Structure Learning	Oct 18, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Bimodular continuous attractor neural networks with static and moving stimuli	Oct 16, 2019	Causal Inference	—Unverified	0
Optimising Individual-Treatment-Effect Using Bandits	Oct 16, 2019	Causal InferenceMarketing	CodeCode Available	0
The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data	Oct 11, 2019	Causal InferenceFairness	—Unverified	0
Comment on "Blessings of Multiple Causes"	Oct 11, 2019	Causal Inferencevalid	—Unverified	0
Estimating Transfer Entropy via Copula Entropy	Oct 10, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs	Oct 7, 2019	Causal Inference	—Unverified	0
Donor's Deferral and Return Behavior: Partial Identification from a Regression Discontinuity Design with Manipulation	Oct 4, 2019	Causal Inferenceregression	—Unverified	0
Spike-based causal inference for weight alignment	Oct 3, 2019	Causal InferenceEconometrics	CodeCode Available	0
Causal inference with Bayes rule	Oct 2, 2019	Causal Inference	—Unverified	0
An introduction to flexible methods for policy evaluation	Oct 1, 2019	Causal Inference	—Unverified	0
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	0
The fairness-accuracy landscape of neural classifiers	Sep 25, 2019	AttributeCausal Inference	—Unverified	0
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Sep 11, 2019	Causal Inferencecounterfactual	CodeCode Available	0
Adversarial Orthogonal Regression: Two non-Linear Regressions for Causal Inference	Sep 10, 2019	Causal Inferenceregression	—Unverified	0
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	Sep 9, 2019	Causal InferenceRecommendation Systems	CodeCode Available	0
Large-Scale Local Causal Inference of Gene Regulatory Relationships	Sep 3, 2019	Causal InferenceTriplet	CodeCode Available	0
Online Causal Inference for Advertising in Real-Time Bidding Auctions	Aug 22, 2019	Causal InferenceExperimental Design	—Unverified	0
A Multi-level Neural Network for Implicit Causality Detection in Web Texts	Aug 18, 2019	Causal InferenceFeature Engineering	CodeCode Available	0
Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal Matching	Aug 13, 2019	Causal Inference	CodeCode Available	0
Transcriptional Response of SK-N-AS Cells to Methamidophos	Aug 11, 2019	Anomaly DetectionCausal Inference	—Unverified	0
Choosing with unknown causal information: Action-outcome probabilities for decision making can be grounded in causal models	Jul 26, 2019	Causal InferenceDecision Making	—Unverified	0
Info Intervention	Jul 24, 2019	Causal Inferencecounterfactual	—Unverified	0
A neural network oracle for quantum nonlocality problems in networks	Jul 24, 2019	Causal Inference	CodeCode Available	0

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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