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 951–975 of 1722 papers

Title	Date	Tasks	Status
A Mixing Time Lower Bound for a Simplified Version of BART	Oct 17, 2022	Causal Inferenceregression	—Unverified
Fair Effect Attribution in Parallel Online Experiments	Oct 15, 2022	AttributeCausal Inference	—Unverified
Distributionally Robust Causal Inference with Observational Data	Oct 15, 2022	Causal InferenceSensitivity	—Unverified
On the Identifiability and Estimation of Causal Location-Scale Noise Models	Oct 13, 2022	Causal DiscoveryCausal Inference	CodeCode Available
Developing a general-purpose clinical language inference model from a large corpus of clinical notes	Oct 12, 2022	Causal InferenceDecoder	—Unverified
Sample Constrained Treatment Effect Estimation	Oct 12, 2022	Causal Inference	CodeCode Available
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders	Oct 11, 2022	Causal Inference	CodeCode Available
Causal and Counterfactual Views of Missing Data Models	Oct 11, 2022	Causal IdentificationCausal Inference	—Unverified
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning	Oct 10, 2022	Causal InferenceDeep Learning	CodeCode Available
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models	Oct 7, 2022	Causal InferenceMachine Translation	CodeCode Available
Text-driven Video Prediction	Oct 6, 2022	Causal InferencePrediction	—Unverified
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training	Oct 6, 2022	AttributeCausal Inference	—Unverified
Transfer Learning for Individual Treatment Effect Estimation	Oct 1, 2022	Causal Inferencecounterfactual	—Unverified
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications	Sep 29, 2022	Causal Inferenceparameter estimation	—Unverified
Causal inference in drug discovery and development	Sep 29, 2022	Causal InferenceDecision Making	—Unverified
Minimax Optimal Kernel Operator Learning via Multilevel Training	Sep 28, 2022	Causal InferenceMulti-agent Reinforcement Learning	—Unverified
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency	Sep 26, 2022	Causal Inference	—Unverified
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies	Sep 25, 2022	Causal InferenceRepresentation Learning	CodeCode Available
Granger Causality for Compressively Sensed Sparse Signals	Sep 23, 2022	Causal Inferencecompressed sensing	—Unverified
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models	Sep 21, 2022	Causal InferenceOff-policy evaluation	—Unverified
Quantifying How Hateful Communities Radicalize Online Users	Sep 19, 2022	Causal InferenceTime Series Analysis	—Unverified
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows	Sep 15, 2022	Causal InferenceSensitivity	CodeCode Available
Stochastic Tree Ensembles for Estimating Heterogeneous Effects	Sep 15, 2022	Causal Inference	—Unverified
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection	Sep 15, 2022	Causal Inference	—Unverified
Normalizing Flows for Interventional Density Estimation	Sep 13, 2022	Causal InferenceDensity Estimation	CodeCode Available

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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