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Fair Assortment Planning
16 references·0 citing·42 second hop
Fair Assortment Planning (2022)Fair Assortment PlanningTechnical Note—Capacitated Assortment Optimization: Hardness and Approximation (2021)Technical Note—Capacitated As…Fairness, Equality, and Power in Algorithmic Decision-Making (2021)Fairness, Equality, and Power…Pairwise Fairness for Ranking and Regression (2020)Pairwise Fairness for Ranking…Policy Learning for Fairness in Ranking (2019)Policy Learning for Fairness …Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Fairness Constraints: A Flexible Approach for Fair Classification (2019)Fairness Constraints: A Flexi…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness (2017)Preventing Fairness Gerrymand…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Constrained Assortment Optimization for the Nested Logit Model (2014)Constrained Assortment Optimi…On the Efficiency-Fairness Trade-off (2012)On the Efficiency-Fairness Tr…Fairness through awareness (2012)Fairness through awarenessThe Price of Fairness (2011)The Price of FairnessDynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010)Dynamic Assortment Optimizati…The Easiest Hard Problem (2002)The Easiest Hard ProblemQualitative Choice Analysis-Theory, Econometrics and an Application to Automobile Demand (1987)Qualitative Choice Analysis-T…The Bargaining Problem (1950)A theory of justice original edition (1971)On Economic Inequality (1973)Information Sharing on Retail Platforms (2018)Firms’ green R&D cooperation behaviour in a supply chain: Technological spillover, power and coordination (2019)Justice as Fairness: A Restatement (2002)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Conditional logit analysis of qualitative choice behavior (1972)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Dynamic pricing and learning: Historical origins, current research, and new directions (2015)Introduction to Multi-Armed Bandits (2019)Discrete Choice Methods with Simulation (2001)The concept and impact analysis of a flexible mobility on demand system (2015)Thed-Level Nested Logit Model: Assortment and Price Optimization Problems (2015)A review of choice-based revenue management: Theory and methods (2018)On the measurement of inequality (1970)Pareto Efficiency in Robust Optimization (2013)Inequity averse optimization in operational research (2015)Paradox, Dialectics or Trade‐Offs? A Double Loop Model of Paradox (2022)Discrimination-aware data mining (2008)Big Data's Disparate Impact (2014)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fairness Beyond Disparate Treatment & Disparate Impact (2017)Fairness in Criminal Justice Risk Assessments: The State of the Art (2018)Bias and Fairness in Large Language Models: A Survey (2024)Exposure to ideologically diverse news and opinion on Facebook (2015)A Review on Fairness in Machine Learning (2022)Fairness in recommender systems: research landscape and future directions (2023)Automobile Prices in Market Equilibrium (1995)Measuring Accessibility: An Exploration of Issues and Alternatives (1997)Travel and the Built Environment (2010)Equity of Attention (2018)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Fairness in Machine Learning: A Survey (2023)
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References

  • 2012Fairness through awareness3,545 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2011The Price of Fairness675 cited
  • 2018Fairness of Exposure in Rankings611 cited
  • 2010Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint490 cited
  • 2017Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness446 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons374 cited
  • 1987Qualitative Choice Analysis-Theory, Econometrics and an Application to Automobile Demand340 cited
  • 2012On the Efficiency-Fairness Trade-off297 cited
  • 2014Constrained Assortment Optimization for the Nested Logit Model228 cited
  • 2019Fairness Constraints: A Flexible Approach for Fair Classification184 cited
  • 2021Fairness, Equality, and Power in Algorithmic Decision-Making149 cited
  • 2002The Easiest Hard Problem148 cited
  • 2019Policy Learning for Fairness in Ranking103 cited
  • 2020Pairwise Fairness for Ranking and Regression84 cited
  • 2021Technical Note—Capacitated Assortment Optimization: Hardness and Approximation

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