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TitleStatusHype
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs—0
Data-Scarce Identification of Game Dynamics via Sum-of-Squares Optimization—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Algorithmic Recourse with Missing Values—0
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space—0
Discriminative Attribution from Counterfactuals—0
Causal Augmentation for Causal Sentence Classification—0
Achieving Counterfactual Fairness for Causal Bandit—0
Counterfactual Explanations via Riemannian Latent Space Traversal—0
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse—0
Data-Augmented Counterfactual Learning for Bundle Recommendation—0
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II—0
Data-driven Analysis for Understanding Team Sports Behaviors—0
Data-Driven Estimation of Heterogeneous Treatment Effects—0
Data Fusion for Partial Identification of Causal Effects—0
Data science is science's second chance to get causal inference right: A classification of data science tasks—0
Anonymizing medical case-based explanations through disentanglement—0
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering—0
δ-CLUE: Diverse Sets of Explanations for Uncertainty Estimates—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Disentangled Counterfactual Reasoning for Unbiased Sequential Recommendation—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
Counterfactual Explanations via Latent Space Projection and Interpolation—0
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension—0
Causal and Counterfactual Views of Missing Data Models—0
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