{"list":"other","total":53,"rows":[{"id":"1502.03167","title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift","created":"2015-02-11","cited_by_count":7005},{"id":"1610.02413","title":"Equality of Opportunity in Supervised Learning","created":"2016-10-07","cited_by_count":2007},{"id":"1908.09635","title":"A Survey on Bias and Fairness in Machine Learning","created":"2019-08-23","cited_by_count":1917},{"id":"1703.06856","title":"Counterfactual Fairness","created":"2017-03-20","cited_by_count":804},{"id":"1610.07524","title":"Fair prediction with disparate impact: A study of bias in recidivism prediction instruments","created":"2016-10-24","cited_by_count":672},{"id":"1706.02515","title":"Self-Normalizing Neural Networks","created":"2017-06-08","cited_by_count":598},{"id":"1609.05807","title":"Inherent Trade-Offs in the Fair Determination of Risk Scores","created":"2016-09-19","cited_by_count":586},{"id":"2108.04884","title":"Retiring Adult: New Datasets for Fair Machine Learning","created":"2021-08-10","cited_by_count":449},{"id":"1711.05144","title":"Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness","created":"2017-11-14","cited_by_count":384},{"id":"1610.08452","title":"Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment","created":"2016-10-26","cited_by_count":369},{"id":"1802.06309","title":"Learning Adversarially Fair and Transferable Representations","created":"2018-02-17","cited_by_count":353},{"id":"1809.06514","title":"Actionable Recourse in Linear Classification","created":"2018-09-18","cited_by_count":328},{"id":"2002.06673","title":"Performative Prediction","created":"2020-02-16","cited_by_count":327},{"id":"1301.2300","title":"Direct and Indirect Effects","created":"2013-01-10","cited_by_count":280},{"id":"1506.06980","title":"Strategic Classification","created":"2015-06-23","cited_by_count":257},{"id":"1511.00830","title":"The Variational Fair Autoencoder","created":"2015-11-03","cited_by_count":223},{"id":"1706.02744","title":"Avoiding Discrimination through Causal Reasoning","created":"2017-06-08","cited_by_count":194},{"id":"1802.08139","title":"Path-Specific Counterfactual Fairness","created":"2018-02-22","cited_by_count":181},{"id":"2011.01821","title":"Minimax Pareto Fairness: A Multi Objective Perspective","created":"2020-11-03","cited_by_count":153},{"id":"1705.10378","title":"Fair Inference On Outcomes","created":"2017-05-29","cited_by_count":144},{"id":"1905.13662","title":"On the Fairness of Disentangled Representations","created":"2019-05-31","cited_by_count":144},{"id":"1906.08386","title":"Inherent Tradeoffs in Learning Fair Representations","created":"2019-06-19","cited_by_count":144},{"id":"1807.08362","title":"An Intersectional Definition of Fairness","created":"2018-07-22","cited_by_count":127},{"id":"1808.08460","title":"The Social Cost of Strategic Classification","created":"2018-08-25","cited_by_count":105},{"id":"1812.04218","title":"Learning Controllable Fair Representations","created":"2018-12-11","cited_by_count":83},{"id":"1910.07162","title":"Conditional Learning of Fair Representations","created":"2019-10-16","cited_by_count":78},{"id":"1808.08646","title":"The Disparate Effects of Strategic Manipulation","created":"2018-08-27","cited_by_count":75},{"id":"1611.07509","title":"A causal framework for discovering and removing direct and indirect discrimination","created":"2016-11-22","cited_by_count":71},{"id":"2010.06529","title":"On the Fairness of Causal Algorithmic Recourse","created":"2020-10-13","cited_by_count":70},{"id":"1910.12586","title":"PC-Fairness: A Unified Framework for Measuring Causality-based Fairness","created":"2019-10-20","cited_by_count":67},{"id":"1909.00066","title":"Counterfactual Risk Assessments, Evaluation, and Fairness","created":"2019-08-30","cited_by_count":59},{"id":"2010.05166","title":"Robust Fairness under Covariate Shift","created":"2020-10-11","cited_by_count":58},{"id":"1909.03166","title":"Equalizing Recourse across Groups","created":"2019-09-07","cited_by_count":55},{"id":"2010.09553","title":"Survey on Causal-based Machine Learning Fairness Notions","created":"2020-10-19","cited_by_count":54},{"id":"1809.03400","title":"A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity","created":"2018-09-10","cited_by_count":53},{"id":"1805.05859","title":"Causal Reasoning for Algorithmic Fairness","created":"2018-05-15","cited_by_count":51},{"id":"1809.02244","title":"Learning Optimal Fair Policies","created":"2018-09-06","cited_by_count":49},{"id":"1903.01209","title":"On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning","created":"2019-03-04","cited_by_count":49},{"id":"1811.03654","title":"How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness","created":"2018-11-08","cited_by_count":48},{"id":"1909.09141","title":"Causal Modeling for Fairness in Dynamical Systems","created":"2019-09-18","cited_by_count":47},{"id":"1806.04959","title":"Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making","created":"2018-06-13","cited_by_count":46},{"id":"2009.02841","title":"Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds","created":"2020-09-07","cited_by_count":40},{"id":"2207.05302","title":"Causal Conceptions of Fairness and their Consequences","created":"2022-07-12","cited_by_count":38},{"id":"2001.04861","title":"Fairness in Learning-Based Sequential Decision Algorithms: A Survey","created":"2020-01-14","cited_by_count":35},{"id":"1302.4982","title":"Directed Cyclic Graphical Representations of Feedback Models","created":"2013-02-20","cited_by_count":28},{"id":"2206.00129","title":"Fairness Transferability Subject to Bounded Distribution Shift","created":"2022-05-31","cited_by_count":28},{"id":"2205.13316","title":"Fair Representation Learning through Implicit Path Alignment","created":"2022-05-26","cited_by_count":22},{"id":"2005.10400","title":"Principal Fairness for Human and Algorithmic Decision-Making","created":"2020-05-21","cited_by_count":20},{"id":"2206.04101","title":"What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective","created":"2022-06-08","cited_by_count":18},{"id":"1411.2127","title":"Causal Inference with a Graphical Hierarchy of Interventions","created":"2014-11-08","cited_by_count":11},{"id":"1910.04109","title":"Optimal Training of Fair Predictive Models","created":"2019-10-09","cited_by_count":10},{"id":"2107.05911","title":"Model Transferability With Responsive Decision Subjects","created":"2021-07-13","cited_by_count":9},{"id":"2301.08987","title":"Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors","created":"2023-01-21","cited_by_count":7}],"next_cursor":null}