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Keswani, Vijay

  1. Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees
    2018/06/15 by L. Elisa Celis, Celis, L. Elisa, Lingxiao Huang +5 · 15 citations
    Social Sciences · #Ethics and Social Impacts of AI
  2. Fair and Diverse DPP-based Data Summarization
    2018/02/12 by L. Elisa Celis, Vijay Keswani, Celis, L. Elisa +9 · 4 citations
    Computer Science · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
  3. Implicit Diversity in Image Summarization
    2019/01/29 by Celis, L. Elisa, Keswani, Vijay · 3 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Improved Adversarial Learning for Fair Classification
    2019/01/29 by L. Elisa Celis, Celis, L. Elisa, Vijay Keswani +1 · 3 citations
    Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Data preprocessing to mitigate bias: A maximum entropy based approach
    2019/06/05 by Elisa Celis, Vijay Keswani, Celis, L. Elisa +3 · 4 citations
    Decision Sciences · Business, Management and Accounting · #Forecasting Techniques and Applications #Big Data and Business Intelligence
  6. Designing Closed Human-in-the-loop Deferral Pipelines
    2022/02/09 by Vijay Keswani, Keswani, Vijay, Matthew Lease +3 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  7. Addressing Strategic Manipulation Disparities in Fair Classification
    2022/05/22 by Vijay Keswani, Keswani, Vijay, L. Elisa Celis +1 · 1 citation
    Social Sciences · #Experimental Behavioral Economics Studies #Corruption and Economic Development
  8. On the Pros and Cons of Active Learning for Moral Preference Elicitation
    2024/07/26 by Vijay Keswani, Keswani, Vijay, Vincent Conitzer +7 · 1 voice · 1 citation
    Computer Science · Decision Sciences · Social Sciences · #Advanced Text Analysis Techniques #Computers and Society (cs.CY) #Ethics in Business and Education #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  9. Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach
    2024/02/17 by Vijay Keswani, Anay Mehrotra, Keswani, Vijay +3 · 1 citation
    Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Cambodian History and Society #Computers and Society (cs.CY) #FOS: Computer and information sciences #Law, Economics, and Judicial Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Qualitative Comparative Analysis Research
  10. On The Stability of Moral Preferences: A Problem with Computational Elicitation Methods
    2024/08/05 by Kyle Boerstler, Boerstler, Kyle, Vijay Keswani +11 · 2 citations
    Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Decision-Making and Behavioral Economics #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Voting Systems #Human-Computer Interaction (cs.HC)