Manish Raghavan

1. On Fairness and Calibration
   2017/09/06 by Geoff Pleiss, Pleiss, Geoff, Manish Raghavan +7 · 58 citations
   Computer Science · Mathematics · Social Sciences · #Explainable Artificial Intelligence (XAI) #Advanced Causal Inference Techniques #Ethics and Social Impacts of AI
2. Inherent Trade-Offs in the Fair Determination of Risk Scores
   2016/09/19 by Jon Kleinberg, Kleinberg, Jon, Sendhil Mullainathan +3 · 32 citations
   Computer Science · Arts and Humanities · #Bayesian Modeling and Causal Inference #Philosophy and History of Science #Explainable Artificial Intelligence (XAI)
3. Inherent Trade-Offs in the Fair Determination of Risk Scores
   2017/01/01 by Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan · 1 voice · 33 citations
   Arts and Humanities · Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Philosophy and History of Science
4. How Do Classifiers Induce Agents To Invest Effort Strategically?
   2018/07/13 by Jon Kleinberg, Manish Raghavan, Kleinberg, Jon +1 · 1 voice · 7 citations
   Computer Science · Mathematics · #Computer Science and Game Theory (cs.GT) #Computers and Society (cs.CY) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CY #cs.DS #cs.GT #cs.LG #stat.ML
5. The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization
   2022/02/23 by Jon Kleinberg, Sendhil Mullainathan, Kleinberg, Jon +3 · 1 voice · 4 citations
   Computer Science · #Computer Science and Game Theory (cs.GT) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #cs.CY #cs.GT #cs.SI
6. Human Expertise in Algorithmic Prediction
   2024/02/01 by Rohan Alur, Manish Raghavan, Alur, Rohan +3 · 1 voice · 4 citations
   Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #cs.AI #cs.HC #cs.LG
7. Bridging Machine Learning and Mechanism Design towards Algorithmic\n Fairness
   2020/10/11 by Jessie Finocchiaro, Roland Maio, Finocchiaro, Jessie +11 · 2 citations
   Social Sciences · #Computer Science and Game Theory (cs.GT) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. The Externalities of Exploration and How Data Diversity Helps\n Exploitation
   2018/06/01 by Manish Raghavan, Raghavan, Manish, Aleksandrs Slivkins +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Computers and Society (cs.CY) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
9. Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
   2024/10/10 by Vinith M. Suriyakumar, Rohan Alur, Suriyakumar, Vinith M. +7 · 4 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
10. Content Moderation and the Formation of Online Communities: A Theoretical Framework
    2023/10/16 by Cynthia Dwork, Dwork, Cynthia, C. P. Hays +5 · 1 citation
    Computer Science · Social Sciences · Physics and Astronomy · #Hate Speech and Cyberbullying Detection #Social Media and Politics #Opinion Dynamics and Social Influence
11. Evaluating multiple models using labeled and unlabeled data
    2025/01/21 by Divya Shanmugam, Shanmugam, Divya, Shuvom Sadhuka +9 · 2 voices · 1 citation
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification