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Showing 2001–2050 of 2765 papers

TitleStatusHype
Uncovering the Source of Machine Bias—0
Unconditional Effects of General Policy Interventions—0
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning—0
Towards Relatable Explainable AI with the Perceptual Process—0
Counterfactual Memorization in Neural Language Models—0
Prolog-based agnostic explanation module for structured pattern classification—0
Learning Cooperative Multi-Agent Policies with Partial Reward Decoupling—0
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution—0
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms—0
Predicting treatment effects from observational studies using machine learning methods: A simulation study—0
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual ExplanationsCode0
U.S. Long-Term Earnings Outcomes by Sex, Race, Ethnicity, and Place of Birth—0
Efficient counterfactual estimation in semiparametric discrete choice models: a note on Chiong, Hsieh, and Shum (2017)—0
Ambiguous Dynamic Treatment Regimes: A Reinforcement Learning Approach—0
Non parametric estimation of causal populations in a counterfactual scenario—0
Enhancing Counterfactual Classification via Self-TrainingCode0
Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time—0
Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates—0
Counterfactual Fairness in Mortgage Lending via Matching and RandomizationCode0
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems—0
Counterfactual Explanations via Latent Space Projection and Interpolation—0
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis—0
Generating High-Quality Explanations for Navigation in Partially-Revealed EnvironmentsCode0
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models—0
DeDUCE: Generating Counterfactual Explanations EfficientlyCode0
Multi-objective Explanations of GNN Predictions—0
MCCE: Monte Carlo sampling of realistic counterfactual explanationsCode0
Growth, Inequality and Declining Business Dynamism in a Unified Schumpeter Mark I + II Model—0
Measuring Fairness of Text Classifiers via Prediction Sensitivity—0
Retrieval-guided Counterfactual Generation for QA—0
CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions—0
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation—0
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models—0
Causal policy ranking—0
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data—0
Learning Generalized Gumbel-max Causal Mechanisms—0
Counterfactual Explanations for Models of CodeCode0
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection—0
Optimal Decision Rules Under Partial Identification—0
Identifying Best Fair Intervention—0
Procurements with Bidder Asymmetry in Cost and Risk-Aversion—0
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response CurvesCode0
Maillard Sampling: Boltzmann Exploration Done Optimally—0
Solving the Class Imbalance Problem Using a Counterfactual Method for Data AugmentationCode0
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding—0
Improving Location Recommendation with Urban Knowledge Graph—0
TabPert : An Effective Platform for Tabular PerturbationCode0
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?—0
Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking—0
Reinforced Counterfactual Data Augmentation for Dual Sentiment ClassificationCode0
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