Fairness

Why Is My Classifier Discriminatory? NeurIPS 2018 A Causal Framework for Discovering and Removing Direct and Indirect Discrimination IJCAI 2017 Algorithmic Bias in Autonomous Systems IJCAI 2017 Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results Interspeech 2017 Avoiding Discrimination through Causal Reasoning NeurIPS 2017 Axiomatic Attribution for Deep Networks ICML 2017 Beyond Parity: Fairness Objectives for Collaborative Filtering NeurIPS 2017 Cake Cutting: Envy and Truth IJCAI 2017 Controllable Invariance through Adversarial Feature Learning NeurIPS 2017 Deterministic, Strategyproof, and Fair Cake Cutting IJCAI 2017 ECNU at SemEval-2017 Task 8: Rumour Evaluation Using Effective Features and Supervised Ensemble Models SemEval 2017 Effects of Talker Dialect, Gender & Race on Accuracy of Bing Speech and YouTube Automatic Captions Interspeech 2017 Fair Allocation based on Diminishing Differences IJCAI 2017 Fair and Efficient Social Choice in Dynamic Settings IJCAI 2017 Fair Clustering Through Fairlets NeurIPS 2017 Fairness Constraints: Mechanisms for Fair Classification AISTATS 2017 Fairness in Reinforcement Learning ICML 2017 From Parity to Preference-based Notions of Fairness in Classification NeurIPS 2017 Incorporating Dialectal Variability for Socially Equitable Language Identification ACL 2017 Learning Non-Discriminatory Predictors COLT 2017 Learning to Pivot with Adversarial Networks NeurIPS 2017 Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints EMNLP 2017 Meritocratic Fairness for Cross-Population Selection ICML 2017 On Fairness and Calibration NeurIPS 2017 Optimized Pre-Processing for Discrimination Prevention NeurIPS 2017