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 1626–1650 of 1722 papers

Title	Date	Tasks	Status
Weighted Tensor Completion for Time-Series Causal Inference	Feb 12, 2019	Causal InferenceTime Series	CodeCode Available
Using Causal Analysis for Conceptual Deep Learning Explanation	Jul 10, 2021	Causal InferenceClinical Knowledge	CodeCode Available
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference	Feb 8, 2021	Causal Inferencecounterfactual	CodeCode Available
Gradient-Based Neural DAG Learning	Jun 5, 2019	Causal Inference	CodeCode Available
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length	Sep 5, 2023	Causal InferenceModel Selection	CodeCode Available
Causal Inference under Outcome-Based Sampling with Monotonicity Assumptions	Apr 17, 2020	Causal Inference	CodeCode Available
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects	Jan 1, 2023	Causal InferenceFederated Learning	CodeCode Available
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference	Sep 24, 2024	Causal InferenceRepresentation Learning	CodeCode Available
ProDAG: Projected Variational Inference for Directed Acyclic Graphs	May 24, 2024	Causal InferenceCombinatorial Optimization	CodeCode Available
Graph Neural Network Causal Explanation via Neural Causal Models	Jul 12, 2024	Causal InferenceGraph Neural Network	CodeCode Available
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference	Apr 7, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available
Causal Inference from Text: Unveiling Interactions between Variables	Nov 9, 2023	Causal InferenceSelection bias	CodeCode Available
GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders	Feb 7, 2025	Causal Inference	CodeCode Available
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang	Mar 9, 2022	Causal DiscoveryCausal Inference	CodeCode Available
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling	Aug 8, 2023	Causal Inference	CodeCode Available
Adversarial Generalized Method of Moments	Mar 19, 2018	Causal InferenceClustering	CodeCode Available
The Effect of Noise Level on Causal Identification with Additive Noise Models	Aug 24, 2021	Causal DiscoveryCausal Identification	CodeCode Available
Harmonization with Flow-based Causal Inference	Jun 12, 2021	Causal Inferencecounterfactual	CodeCode Available
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time series	Feb 7, 2022	Causal InferenceTime Series	CodeCode Available
Smoke and Mirrors in Causal Downstream Tasks	May 27, 2024	Causal InferenceRepresentation Learning	CodeCode Available
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach	May 29, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available
Rethinking recidivism through a causal lens	Nov 19, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available
Heterogeneous Peer Effects in the Linear Threshold Model	Jan 27, 2022	Causal Inferencemodel	CodeCode Available
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models	Feb 25, 2020	Causal InferenceImputation	CodeCode Available
Propensity Score Alignment of Unpaired Multimodal Data	Apr 2, 2024	Causal InferenceRepresentation Learning	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