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TitleStatusHype
Achieving Diversity in Counterfactual Explanations: a Review and Discussion—0
Do Cure Violence Programs Reduce Gun Violence? Evidence from New York City—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Estimating Categorical Counterfactuals via Deep Twin Networks—0
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference—0
Doubly robust nearest neighbors in factor models—0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology—0
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of LLMs—0
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric—0
Algorithmic Recourse with Missing Values—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
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space—0
Diverse Counterfactual Explanations for Anomaly Detection in Time Series—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
Causal Augmentation for Causal Sentence Classification—0
De-amplifying Bias from Differential Privacy in Language Model Fine-tuning—0
Achieving Counterfactual Fairness for Causal Bandit—0
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension—0
Counterfactual Explanations via Riemannian Latent Space Traversal—0
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse—0
De-Biasing Generative Models using Counterfactual Methods—0
CFGs: Causality Constrained Counterfactual Explanations using goal-directed ASP—0
Anonymizing medical case-based explanations through disentanglement—0
Distribution Regression Difference-In-Differences—0
Debiasing Multimodal Sarcasm Detection with Contrastive Learning—0
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation—0
Diverse Generation for Multi-Agent Sports Games—0
Counterfactual Explanations via Latent Space Projection and Interpolation—0
CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong—0
Causal and Counterfactual Views of Missing Data Models—0
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models—0
Decentralized Decision-Making in Retail Chains: Evidence from Inventory Management—0
Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System—0
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization—0
Distributionally Robust Counterfactual Risk Minimization—0
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning—0
Declarative Approaches to Counterfactual Explanations for Classification—0
Characterization of Efficient Influence Function for Off-Policy Evaluation Under Optimal Policies—0
Counterfactual Explanations of Concept Drift—0
Cyclic Vision-Language Manipulator: Towards Reliable and Fine-Grained Image Interpretation for Automated Report Generation—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
Distributional Difference-in-Differences Models with Multiple Time Periods—0
Distributional synthetic controls—0
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating—0
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