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 1026–1050 of 1722 papers

Title	Date	Tasks	Status	Hype
Conceptualizing Treatment Leakage in Text-based Causal Inference	Jan 16, 2022	Causal Inference	—Unverified	0
Debiased Recommendation with User Feature Balancing	Jan 16, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Automated causal inference in application to randomized controlled clinical trials	Jan 15, 2022	Causal Inference	CodeCode Available	0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery	Jan 13, 2022	Causal InferenceData Integration	—Unverified	0
Kernel methods for long term dose response curves	Jan 13, 2022	Causal Inferencecounterfactual	—Unverified	0
Optimal Best Arm Identification in Two-Armed Bandits with a Fixed Budget under a Small Gap	Jan 12, 2022	Causal Inference	—Unverified	0
Ancestral Instrument Method for Causal Inference without Complete Knowledge	Jan 11, 2022	Causal Inferencevalid	—Unverified	0
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation	Jan 5, 2022	Causal Inference	CodeCode Available	1
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings	Jan 3, 2022	Causal Inference	—Unverified	0
EI-CLIP: Entity-Aware Interventional Contrastive Learning for E-Commerce Cross-Modal Retrieval	Jan 1, 2022	Causal InferenceContrastive Learning	—Unverified	0
Contextual Debiasing for Visual Recognition With Causal Mechanisms	Jan 1, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Show, Deconfound and Tell: Image Captioning With Causal Inference	Jan 1, 2022	Causal InferenceDecoder	CodeCode Available	1
Auction Throttling and Causal Inference of Online Advertising Effects	Dec 30, 2021	Causal Inference	—Unverified	0
Private Private Information	Dec 29, 2021	Causal InferenceFairness	—Unverified	0
Nested Nonparametric Instrumental Variable Regression	Dec 28, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Long Story Short: Omitted Variable Bias in Causal Machine Learning	Dec 26, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Using Network-based Causal Inference to Detect the Sources of Contagion in the Currency Market	Dec 24, 2021	Causal Inference	—Unverified	0
Causal Inference Despite Limited Global Confounding via Mixture Models	Dec 22, 2021	Causal Inference	—Unverified	0
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding	Dec 21, 2021	Causal InferenceSensitivity	CodeCode Available	0
On Causal Inference for Data-free Structured Pruning	Dec 19, 2021	Causal Inference	—Unverified	0
Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies	Dec 19, 2021	Causal Inference	CodeCode Available	0
Hybrid Neural Networks for On-device Directional Hearing	Dec 11, 2021	Audio Source SeparationCausal Inference	CodeCode Available	1
Causal Knowledge Guided Societal Event Forecasting	Dec 10, 2021	Causal Inference	CodeCode Available	1
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	Dec 9, 2021	Causal InferenceWord Embeddings	CodeCode Available	0
AI Assurance using Causal Inference: Application to Public Policy	Dec 1, 2021	Causal InferenceDecision Making	—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