algorithmic fairness

Robust Allocations with Diversity Constraints NeurIPS 2021 Robust Fairness Under Covariate Shift AAAI 2021 Sample Selection for Fair and Robust Training NeurIPS 2021 Scarce Societal Resource Allocation and the Price of (Local) Justice AAAI 2021 The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective AAAI 2021 Towards Fair and Transparent Algorithmic Systems IJCAI 2021 Unintended Selection: Persistent Qualification Rate Disparities and Interventions NeurIPS 2021 Achieving Equalized Odds by Resampling Sensitive Attributes NeurIPS 2020 A General Approach to Fairness with Optimal Transport AAAI 2020 Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020 An Information-Theoretic Quantification of Discrimination with Exempt Features AAAI 2020 Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NeurIPS 2020 Conditional Learning of Fair Representations ICLR 2020 Deontological Ethics By Monotonicity Shape Constraints AISTATS 2020 Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020 Equalized odds postprocessing under imperfect group information AISTATS 2020 Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP EMNLP 2020 FairyTED: A Fair Rating Predictor for TED Talk Data AAAI 2020 Faking Fairness via Stealthily Biased Sampling AAAI 2020 Identifying and Correcting Label Bias in Machine Learning AISTATS 2020 Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations AAAI 2020 Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020 Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020 Learning to Deceive with Attention-Based Explanations ACL 2020 Model-Agnostic Counterfactual Explanations for Consequential Decisions AISTATS 2020