Fairness

Fairness without Harm: Decoupled Classifiers with Preference Guarantees ICML 2019 Fair Online Allocation of Perishable Goods and its Application to Electric Vehicle Charging IJCAI 2019 Fair Regression: Quantitative Definitions and Reduction-Based Algorithms ICML 2019 Fairwalk: Towards Fair Graph Embedding IJCAI 2019 Fairwashing: the risk of rationalization ICML 2019 Feature-Wise Bias Amplification ICLR 2019 FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions AAAI 2019 Flexibly Fair Representation Learning by Disentanglement ICML 2019 Gender Bias in Contextualized Word Embeddings NAACL 2019 Gender De-Biasing in Speech Emotion Recognition Interspeech 2019 Gender-preserving Debiasing for Pre-trained Word Embeddings ACL 2019 Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis ACL 2019 Group Fairness for the Allocation of Indivisible Goods AAAI 2019 Group-Fairness in Influence Maximization IJCAI 2019 Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness NeurIPS 2019 Guarantees for Spectral Clustering with Fairness Constraints ICML 2019 How Does Grammatical Gender Affect Noun Representations in Gender-Marking Languages? CoNLL 2019 Human-grounded Evaluations of Explanation Methods for Text Classification EMNLP 2019 HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models NeurIPS 2019 Identifying and Reducing Gender Bias in Word-Level Language Models NAACL 2019 Incorporating Priors with Feature Attribution on Text Classification ACL 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts EMNLP 2019 It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution EMNLP 2019 Learning Controllable Fair Representations AISTATS 2019