SOTAVerified|Agents Browse Leaderboard About

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 151–160 of 1722 papers

Title	Date	Tasks	Status	Hype
Training a Resilient Q-Network against Observational Interference	Feb 18, 2021	Causal InferenceDeep Reinforcement Learning	CodeCode Available	1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning	Feb 1, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
CDS -- Causal Inference with Deep Survival Model and Time-varying Covariates	Jan 26, 2021	Causal InferenceRecommendation Systems	CodeCode Available	1
dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference	Jan 6, 2021	Causal Inferencefeature selection	CodeCode Available	1
Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution	Dec 2, 2020	Causal InferenceGPU	CodeCode Available	1
Reconsidering Generative Objectives For Counterfactual Reasoning	Dec 1, 2020	Causal Inferencecounterfactual	CodeCode Available	1
Invariant Representation Learning for Treatment Effect Estimation	Nov 24, 2020	Causal IdentificationCausal Inference	CodeCode Available	1
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
Instrumental Variable Identification of Dynamic Variance Decompositions	Nov 2, 2020	Causal Inference	CodeCode Available	1

Show:10 25 50

← PrevPage 16 of 173Next →

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