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TitleStatusHype
A Dynamic Agent Based Model of the Real Economy with Monopolistic Competition, Perfect Product Differentiation, Heterogeneous Agents, Increasing Returns to Scale and Trade in Disequilibrium—0
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness—0
Causal Explanations and XAI—0
Applications of 0-1 Neural Networks in Prescription and Prediction—0
A comparative study of counterfactual estimators—0
Causal effects based on distributional distances—0
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study—0
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand—0
A General Search-based Framework for Generating Textual Counterfactual Explanations—0
Advertiser Learning in Direct Advertising Markets—0
CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics—0
CREDENCE: Counterfactual Explanations for Document Ranking—0
Customer Price Sensitivities in Competitive Automobile Insurance Markets—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
Counterfactual Graph Transformer for Traffic Flow Prediction—0
CausalDyna: Improving Generalization of Dyna-style Reinforcement Learning via Counterfactual-Based Data Augmentation—0
Covariate-Adjusted Deep Causal Learning for Heterogeneous Panel Data Models—0
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems—0
COVID-Town: An Integrated Economic-Epidemiological Agent-Based Model—0
CPL: Counterfactual Prompt Learning for Vision and Language Models—0
Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies—0
Answer-Set Programs for Reasoning about Counterfactual Interventions and Responsibility Scores for Classification—0
A Comparative Analysis of Counterfactual Explanation Methods for Text Classifiers—0
Counterfactual Generation with Answer Set Programming—0
Counterfactual Generation Under Confounding—0
Answering Causal Queries at Layer 3 with DiscoSCMs-Embracing Heterogeneity—0
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball—0
CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations—0
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals—0
A Novel Multi-Objective Evolutionary Algorithm for Counterfactual Generation—0
Counterfactual Formulation of Patient-Specific Root Causes of Disease—0
Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning—0
Counterfactual Fairness with Partially Known Causal Graph—0
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder—0
Causal Conceptions of Fairness and their Consequences—0
Counterfactual Fairness through Transforming Data Orthogonal to Bias—0
Counterfactual Fairness through Data Preprocessing—0
Causal Contrastive Learning for Counterfactual Regression Over Time—0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference—0
Counterfactual Generation with Knockoffs—0
Beauty Learning and Counterfactual Inference—0
Causal Discovery and Counterfactual Explanations for Personalized Student Learning—0
CounteRGAN: Generating Realistic Counterfactuals with Residual Generative Adversarial Nets—0
Counterfactual fairness: removing direct effects through regularization—0
Counterfactual Fairness Is Not Demographic Parity, and Other Observations—0
Answer-Set Programs for Repair Updates and Counterfactual Interventions—0
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
Counterfactual Fairness Is Basically Demographic Parity—0
Counterfactual Fairness in Text Classification through Robustness—0
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