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 851–875 of 1722 papers

Title	Date	Tasks	Status	Hype
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition	Oct 8, 2022	Causal InferenceContinual Learning	CodeCode Available	1
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models	Oct 7, 2022	Causal InferenceMachine Translation	CodeCode Available	0
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training	Oct 6, 2022	AttributeCausal Inference	—Unverified	0
Text-driven Video Prediction	Oct 6, 2022	Causal InferencePrediction	—Unverified	0
Causal Inference for Chatting Handoff	Oct 6, 2022	Causal InferenceChatbot	CodeCode Available	1
Transfer Learning for Individual Treatment Effect Estimation	Oct 1, 2022	Causal Inferencecounterfactual	—Unverified	0
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information	Sep 30, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications	Sep 29, 2022	Causal Inferenceparameter estimation	—Unverified	0
Causal inference in drug discovery and development	Sep 29, 2022	Causal InferenceDecision Making	—Unverified	0
Causal Proxy Models for Concept-Based Model Explanations	Sep 28, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Minimax Optimal Kernel Operator Learning via Multilevel Training	Sep 28, 2022	Causal InferenceMulti-agent Reinforcement Learning	—Unverified	0
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency	Sep 26, 2022	Causal Inference	—Unverified	0
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies	Sep 25, 2022	Causal InferenceRepresentation Learning	CodeCode Available	0
Granger Causality for Compressively Sensed Sparse Signals	Sep 23, 2022	Causal Inferencecompressed sensing	—Unverified	0
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models	Sep 21, 2022	Causal InferenceOff-policy evaluation	—Unverified	0
A Survey of Deep Causal Models and Their Industrial Applications	Sep 19, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Quantifying How Hateful Communities Radicalize Online Users	Sep 19, 2022	Causal InferenceTime Series Analysis	—Unverified	0
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection	Sep 15, 2022	Causal Inference	—Unverified	0
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows	Sep 15, 2022	Causal InferenceSensitivity	CodeCode Available	0
Stochastic Tree Ensembles for Estimating Heterogeneous Effects	Sep 15, 2022	Causal Inference	—Unverified	0
Unifying Causal Inference and Reinforcement Learning using Higher-Order Category Theory	Sep 13, 2022	Causal Inferencereinforcement-learning	—Unverified	0
Normalizing Flows for Interventional Density Estimation	Sep 13, 2022	Causal InferenceDensity Estimation	CodeCode Available	0
Variational Causal Inference	Sep 13, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Smiles in Profiles: Improving Efficiency While Reducing Disparities in Online Marketplaces	Sep 2, 2022	Causal Inferencecounterfactual	—Unverified	0
The Impact of the #MeToo Movement on Language at Court -- A text-based causal inference approach	Sep 1, 2022	Causal InferenceSentiment Analysis	—Unverified	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