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algorithmic fairness

283 papers

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Co-occurring keywords

bias mitigation (492) causal inference (1619) group fairness (158) fairness constraint (124) bias detection (419) machine learning (434) demographic parity (75) fair machine learning (46) counterfactual fairness (39) fair classification (54)

Papers

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective AAAI 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation AAAI 2021
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling AAAI 2021
Towards Fair and Transparent Algorithmic Systems IJCAI 2021
Post-processing for Individual Fairness NIPS 2021
Robust Allocations with Diversity Constraints NIPS 2021
Sample Selection for Fair and Robust Training NIPS 2021
Fair Sortition Made Transparent NIPS 2021
Does enforcing fairness mitigate biases caused by subpopulation shift? NIPS 2021
Fairness and Bias in Online Selection ICML 2021
Environment Inference for Invariant Learning ICML 2021
On the Problem of Underranking in Group-Fair Ranking ICML 2021
Unintended Selection: Persistent Qualification Rate Disparities and Interventions NIPS 2021
Assessing Fairness in the Presence of Missing Data NIPS 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning NIPS 2021
Learning to Deceive with Attention-Based Explanations ACL 2020
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses NIPS 2020
Model-Agnostic Counterfactual Explanations for Consequential Decisions AISTATS 2020
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective ICML 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection ACL 2020
Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract) AAAI 2020
Does Gender Matter? Towards Fairness in Dialogue Systems COLING 2020
Verifying Individual Fairness in Machine Learning Models UAI 2020
Pairwise Fairness for Ranking and Regression AAAI 2020