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Raghavan, Manish

  1. On Fairness and Calibration
    2017/09/06 by Geoff Pleiss, Manish Raghavan, Pleiss, Geoff +7 · 57 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. How Do Classifiers Induce Agents To Invest Effort Strategically?
    2018/07/13 by Jon Kleinberg, Manish Raghavan, Kleinberg, Jon +1 · 1 voice · 6 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
  4. Competition and Diversity in Generative AI
    2024/12/11 by Raghavan, Manish · 3 voices · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  5. 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
  6. Auditing for Human Expertise
    2023/06/02 by Alur, Rohan, Laine, Loren, Li, Darrick K. +3 · 5 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. 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 · 3 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
  8. Selection Problems in the Presence of Implicit Bias
    2018/01/04 by Kleinberg, Jon, Raghavan, Manish · 2 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. 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)
  10. The Externalities of Exploration and How Data Diversity Helps\n Exploitation
    2018/06/01 by Manish Raghavan, Aleksandrs Slivkins, Raghavan, Manish +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
  11. Stochastic Model for Sunk Cost Bias
    2021/06/21 by Kleinberg, Jon, Oren, Sigal, Raghavan, Manish +1 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
  12. Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
    2024/10/10 by Vinith M. Suriyakumar, Suriyakumar, Vinith M., Rohan Alur +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
  13. Planning Problems for Sophisticated Agents with Present Bias
    2016/03/27 by Kleinberg, Jon, Oren, Sigal, Raghavan, Manish · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Physical sciences #Multiagent Systems (cs.MA) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  14. Planning with Multiple Biases
    2017/06/04 by Kleinberg, Jon, Oren, Sigal, Raghavan, Manish · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Physical sciences #Multiagent Systems (cs.MA) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI)
  15. Hiring Under Uncertainty
    2019/05/07 by Raghavan, Manish, Purohit, Manish, Gollupadi, Sreenivas · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
  16. Greedy Algorithm almost Dominates in Smoothed Contextual Bandits
    2020/05/19 by Raghavan, Manish, Slivkins, Aleksandrs, Vaughan, Jennifer Wortman +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems
    2021/03/10 by Bakalar, Chloé, Barreto, Renata, Bergman, Stevie +13 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. 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
  19. Reconciling the accuracy-diversity trade-off in recommendations
    2023/07/27 by Peng, Kenny, Raghavan, Manish, Pierson, Emma +2 · 1 citation
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI)
  20. 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
  21. Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
    2025/03/19 by Jo, Nathanael, Creel, Kathleen, Wilson, Ashia +1 · 1 citation
    #Computer Science and Game Theory (cs.GT) #Computers and Society (cs.CY) #FOS: Computer and information sciences