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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

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Showing 1401–1450 of 1722 papers

TitleStatusHype
Causal Inference by String Diagram Surgery—0
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions—0
Causal Inference (C-inf) -- closed form worst case typical phase transitions—0
Causal Inference for Banking Finance and Insurance A Survey—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Causal Inference for Early Detection of Pathogenic Social Media Accounts—0
Causal Inference for Event Pairs in Multivariate Point Processes—0
Causal Inference for Experiments with Latent Outcomes: Key Results and Their Implications for Design and Analysis—0
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes—0
Causal Inference for Recommendation: Foundations, Methods and Applications—0
Causal Inference for Survival Analysis—0
Causal inference for the expected number of recurrent events in the presence of a terminal event—0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation—0
Causal Inference from Slowly Varying Nonstationary Processes—0
Causal Inference from Small High-dimensional Datasets—0
Causal Inference in Disease Spread across a Heterogeneous Social System—0
Causal inference in drug discovery and development—0
Causal Inference in Educational Systems: A Graphical Modeling Approach—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems—0
Causal Inference in Geoscience and Remote Sensing from Observational Data—0
Causal Inference in Geosciences with Kernel Sensitivity Maps—0
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond—0
Causal Inference in Network Economics—0
Causal inference in network experiments: regression-based analysis and design-based properties—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality—0
Causal Inference in Observational Data—0
Causal Inference in the Presence of Interference in Sponsored Search Advertising—0
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts—0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem—0
Causal Inference of Script Knowledge—0
Causal Inference on Discrete Data via Estimating Distance Correlations—0
Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning—0
Causal Inference on Multivariate and Mixed-Type Data—0
Causal Inference on Outcomes Learned from Text—0
Causal Inference on Time Series using Restricted Structural Equation Models—0
Causal Inference out of Control: Estimating the Steerability of Consumption—0
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)—0
Causal Inference Struggles with Agency on Online Platforms—0
Causal Inference through a Witness Protection Program—0
Causal inference through multi-stage learning and doubly robust deep neural networks—0
Estimation and Inference on Nonlinear and Heterogeneous Effects—0
Causal Inference Tools for a Better Evaluation of Machine Learning—0
Causal Inference Under Approximate Neighborhood Interference—0
Causal Inference under Data Restrictions—0
Causal Inference Under Interference And Network Uncertainty—0
Causal Inference under Interference through Designed Markets—0
Causal Inference under Networked Interference and Intervention Policy Enhancement—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified