Fairness

Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP EMNLP 2020 Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020 FACT: A Diagnostic for Group Fairness Trade-offs ICML 2020 Fair Correlation Clustering AISTATS 2020 Fair Data Adaptation with Quantile Preservation JMLR 2020 Fair Decisions Despite Imperfect Predictions AISTATS 2020 Fair Division of Mixed Divisible and Indivisible Goods AAAI 2020 Fair Division Through Information Withholding AAAI 2020 Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings EMNLP 2020 Fair Generative Modeling via Weak Supervision ICML 2020 Fair Hierarchical Clustering NeurIPS 2020 Fair k-Centers via Maximum Matching ICML 2020 Fair Multiple Decision Making Through Soft Interventions NeurIPS 2020 Fairness-Aware Demand Prediction for New Mobility AAAI 2020 Fairness-Aware Neural Rényi Minimization for Continuous Features IJCAI 2020 Fairness constraints can help exact inference in structured prediction NeurIPS 2020 Fairness Does Not Imply Satisfaction (Student Abstract) AAAI 2020 Fairness Evaluation in Presence of Biased Noisy Labels AISTATS 2020 Fairness for Robust Log Loss Classification AAAI 2020 Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020 Fairness in Streaming Submodular Maximization: Algorithms and Hardness NeurIPS 2020 Fairness without Demographics through Adversarially Reweighted Learning NeurIPS 2020 Fairness with Overlapping Groups; a Probabilistic Perspective NeurIPS 2020 Fair Performance Metric Elicitation NeurIPS 2020 Fair regression via plug-in estimator and recalibration with statistical guarantees NeurIPS 2020