Papers with Code 아카이브

Causal Inference

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 3
평가표: 3
보존된 평가 기록: 20

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

<span style="color:grey; opacity: 0.6">( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/mims-harvard/CLEF

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Controllable Sequence Editing for Biological and Clinical Trajectories

https://github.com/mingzhang-yin/coco

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Optimization-based Causal Estimation from Heterogenous Environments

https://github.com/misoc-mml/hyperparam-sensitivity

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Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation

https://github.com/ml-tasa/pid-ssl

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On the Out-of-Distribution Generalization of Self-Supervised Learning

https://github.com/moprescu/GSTUNet

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GST-UNet: Spatiotemporal Causal Inference with Time-Varying Confounders

https://github.com/moritzwillig/causalparrots

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Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

https://github.com/mrhuff/kgformula

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A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment

https://github.com/msaremi/u-semnan

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Neural Network Parameter-optimization of Gaussian pmDAGs

https://github.com/mshoush/PrescriptiveProcessMonitoringUnderResourceConstraintsCausalInference

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Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach

https://github.com/musfiqshohan/iddag

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Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

https://github.com/musfiqshohan/idgen

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Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

https://github.com/musfiqshohan/modular-dcm

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Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

https://github.com/mw742/Hillclimb-Causal-Inference

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Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in Children

https://github.com/mymakar/causally_motivated_shortcut_removal

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Causally motivated Shortcut Removal Using Auxiliary Labels

https://github.com/nacharki/multiplet-metalearners

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Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects

https://github.com/nanguoshun/IVG

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Interventional Video Grounding with Dual Contrastive Learning

https://github.com/neildhir/dcbo

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Dynamic Causal Bayesian Optimization

https://github.com/netflix/sherlock

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A framework for causal segmentation analysis with machine learning in large-scale digital experiments

https://github.com/netmanaiops/circa

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Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

https://github.com/networks-learning/cfact-inference-second-opinions

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Counterfactual Inference of Second Opinions

https://github.com/networks-learning/counterfactual-continuous-mdp

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Finding Counterfactually Optimal Action Sequences in Continuous State Spaces

https://github.com/ngl567/lcge

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Logic and Commonsense-Guided Temporal Knowledge Graph Completion

https://github.com/nih-card/biomedsql

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BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases

https://github.com/nikikilbertus/fair-decisions

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Fair Decisions Despite Imperfect Predictions

https://github.com/ninatian98369/hypogen

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HypoGen: Hyperbole Generation with Commonsense and Counterfactual Knowledge

https://github.com/nixay/causal-stonet

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Causal-StoNet: Causal Inference for High-Dimensional Complex Data

https://github.com/nktoan/causal-inference-via-style-transfer-for-ood-generalisation

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Causal Inference via Style Transfer for Out-of-distribution Generalisation

https://github.com/nsaph-projects/space

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SpaCE: The Spatial Confounding Environment

https://github.com/nsaph-projects/tresnet

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Causal Estimation of Exposure Shifts with Neural Networks

https://github.com/nsaph-software/cre

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Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects

https://github.com/nt-williams/crumble

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General targeted machine learning for modern causal mediation analysis

https://github.com/octeufer/Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference

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Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data

https://github.com/ogencoglu/causal_twitter_modeling_covid19

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Causal Modeling of Twitter Activity During COVID-19

https://github.com/olivercliff/pyspi

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Unifying Pairwise Interactions in Complex Dynamics

https://github.com/olivierjeunen/disentangling-neurips-2022

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Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders

https://github.com/onepounchman/causal-retionalization

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Towards Trustworthy Explanation: On Causal Rationalization

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