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TitleStatusHype
Optimal Transport for Counterfactual Estimation: A Method for Causal InferenceCode0
Text-to-Image Models for Counterfactual Explanations: a Black-Box ApproachCode0
Counterfactual Learning with Multioutput Deep KernelsCode0
Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM PatientsCode0
Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet TransportCode0
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk MinimizationCode0
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of ConceptCode0
CODEX: A Cluster-Based Method for Explainable Reinforcement LearningCode0
Safe Exploration for Optimizing Contextual BanditsCode0
Ordered Counterfactual Explanation by Mixed-Integer Linear OptimizationCode0
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning PoliciesCode0
Adversarial Distribution Balancing for Counterfactual ReasoningCode0
SAGED: A Holistic Bias-Benchmarking Pipeline for Language Models with Customisable Fairness CalibrationCode0
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
Addressing Both Statistical and Causal Gender Fairness in NLP ModelsCode0
Assessing the Capacity of Transformer to Abstract Syntactic Representations: A Contrastive Analysis Based on Long-distance AgreementCode0
Counterfactual Learning to Rank using Heterogeneous Treatment Effect EstimationCode0
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric AssessmentsCode0
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect EstimationCode0
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce ProductsCode0
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement LearningCode0
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive LearningCode0
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systemsCode0
Co^2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt TuningCode0
CLOMO: Counterfactual Logical Modification with Large Language ModelsCode0
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