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counterfactual

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Showing 1651–1700 of 2765 papers

TitleStatusHype
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples—0
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation—0
Learning Interpretable Low-dimensional Representation via Physical SymmetryCode0
Counterfactual Identifiability of Bijective Causal ModelsCode0
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model—0
Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions—0
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic—0
Epsilon-Identifiability of Causal Quantities—0
Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAICode0
Automatic Debiased Estimation with Machine Learning-Generated Regressors—0
Transferable Fairness for Cold-Start Recommendation—0
Individualized prescriptive inference in ischaemic stroke—0
Counterfactual Editing for Search Result Explanation—0
Off-Policy Evaluation for Action-Dependent Non-Stationary EnvironmentsCode0
Counterfactual (Non-)identifiability of Learned Structural Causal Models—0
Bayesian Hierarchical Models for Counterfactual Estimation—0
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial NetworksCode0
Causal Inference under Data Restrictions—0
Optimal Transport for Counterfactual Estimation: A Method for Causal InferenceCode0
Data-Driven Estimation of Heterogeneous Treatment Effects—0
Doubly Robust Counterfactual Classification—0
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival dataCode0
Explaining ELH Concept Descriptions through Counterfactual Reasoning—0
Evaluating counterfactual explanations using Pearl's counterfactual method—0
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS—0
Towards Explainable Land Cover Mapping: a Counterfactual-based Strategy—0
Continual Causal Effect Estimation: Challenges and Opportunities—0
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space—0
Style-transfer counterfactual explanations: An application to mortality prevention of ICU patientsCode0
Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks—0
Multimodal Explainability via Latent Shift applied to COVID-19 stratification—0
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering—0
Pearl Causal Hierarchy on Image Data: Intricacies & Challenges—0
Towards Causal Credit AssignmentCode0
Enhancing Resilience: Model-based Simulations—0
VCNet: A self-explaining model for realistic counterfactual generationCode0
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning—0
Causal Inference for Knowledge Graph based RecommendationCode0
Sanctions and Imports of Essential Goods: A Closer Look at the Equipo Anova (2021) Results—0
Identification of time-varying counterfactual parameters in nonlinear panel models—0
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations DifferCode0
Causal Temporal Reasoning for Markov Decision Processes—0
Neural Network Augmented Compartmental Pandemic Models—0
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization ApproachCode0
Evaluating vaccine allocation strategies using simulation-assisted causal modellingCode0
Counterfactual Explanations for Support Vector Machine Models—0
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees—0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
Cross-view Geo-localization via Learning Disentangled Geometric Layout CorrespondenceCode0
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