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 421–430 of 1722 papers

Title	Date	Tasks	Status	Hype
Evaluating Interventional Reasoning Capabilities of Large Language Models	Apr 8, 2024	Causal InferenceDecision Making	—Unverified	0
Context-dependent Causality (the Non-Nonotonic Case)	Apr 7, 2024	Causal Inference	—Unverified	0
CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference	Apr 7, 2024	Causal InferenceDimensionality Reduction	—Unverified	0
Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods	Apr 3, 2024	Causal DiscoveryCausal Inference	—Unverified	0
Propensity Score Alignment of Unpaired Multimodal Data	Apr 2, 2024	Causal InferenceRepresentation Learning	CodeCode Available	0
Predictive Performance Comparison of Decision Policies Under Confounding	Apr 1, 2024	Causal InferenceDecision Making	CodeCode Available	0
Unveiling the Impact of Macroeconomic Policies: A Double Machine Learning Approach to Analyzing Interest Rate Effects on Financial Markets	Mar 31, 2024	Causal Inference	—Unverified	0
C-XGBoost: A tree boosting model for causal effect estimation	Mar 31, 2024	Causal InferenceMissing Values	CodeCode Available	1
Causal Inference for Human-Language Model Collaboration	Mar 30, 2024	Causal Inferencecounterfactual	CodeCode Available	0
On Causal Inference with Model-Based Outcomes	Mar 28, 2024	Causal Inferencemodel	CodeCode Available	0

Show:10 25 50

← PrevPage 43 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