Fairness

A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations AAAI 2020 Achieving Equalized Odds by Resampling Sensitive Attributes NeurIPS 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 Achieving Outcome Fairness in Machine Learning Models for Social Decision Problems IJCAI 2020 Actionable Ethics through Neural Learning AAAI 2020 Adapting Text Embeddings for Causal Inference UAI 2020 Adversarial Filters of Dataset Biases ICML 2020 Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks IJCAI 2020 A Fair Classifier Using Kernel Density Estimation NeurIPS 2020 A Fair Comparison of Graph Neural Networks for Graph Classification ICLR 2020 A General Approach to Fairness with Optimal Transport AAAI 2020 A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces AAAI 2020 AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020 AI Trust in Business Processes: The Need for Process-Aware Explanations AAAI 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 An Algorithm for Multi-Attribute Diverse Matching IJCAI 2020 Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity EMNLP 2020 A negative case analysis of visual grounding methods for VQA ACL 2020 An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions MLHC 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 A Novel Methodology for Developing Automatic Harassment Classifiers for Twitter EMNLP 2020 A Pairwise Fair and Community-preserving Approach to k-Center Clustering ICML 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NeurIPS 2020 AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings COLING 2020 Argument from Old Man’s View: Assessing Social Bias in Argumentation COLING 2020