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Bhatt, Umang

  1. Evaluating and Aggregating Feature-based Model Explanations
    2020/05/01 by Bhatt, Umang, Weller, Adrian, Moura, José M. F. · 16 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Explainable Machine Learning in Deployment
    2019/09/13 by Bhatt, Umang, Xiang, Alice, Sharma, Shubham +7 · 15 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  3. Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
    2020/11/15 by Umang Bhatt, Bhatt, Umang, Javier Antorán +26 · 17 citations
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
  4. Large Language Models Must Be Taught to Know What They Don't Know
    2024/06/12 by Kapoor, Sanyam, Gruver, Nate, Roberts, Manley +7 · 20 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Do Concept Bottleneck Models Learn as Intended?
    2021/05/10 by Margeloiu, Andrei, Ashman, Matthew, Bhatt, Umang +3 · 10 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Building Machines that Learn and Think with People
    2024/07/22 by Katherine M. Collins, Collins, Katherine M., Ilia Sucholutsky +23 · 22 citations
    Computer Science · Social Sciences · #AI in Service Interactions #Ethics and Social Impacts of AI
  7. Uncertainty Quantification with Pre-trained Language Models: A Large-Scale Empirical Analysis
    2022/10/10 by Xiao, Yuxin, Liang, Paul Pu, Bhatt, Umang +3 · 8 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Getting a CLUE: A Method for Explaining Uncertainty Estimates
    2020/06/11 by Javier Antorán, Antorán, Javier, Umang Bhatt +7 · 6 citations
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management
  9. On the Utility of Prediction Sets in Human-AI Teams
    2022/05/03 by Babbar, Varun, Bhatt, Umang, Weller, Adrian · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  10. On the Fairness of Causal Algorithmic Recourse
    2020/10/13 by Julius von Kügelgen, Amir-Hossein Karimi, von Kügelgen, Julius +9 · 4 citations
    Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment
  11. Approximating Full Conformal Prediction at Scale via Influence Functions
    2022/02/02 by Abad, Javier, Bhatt, Umang, Weller, Adrian +1 · 4 citations
    #Applications (stat.AP) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Evaluating Language Models for Mathematics through Interactions
    2023/06/02 by Katherine M. Collins, Albert Q. Jiang, Collins, Katherine M. +25 · 5 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Topic Modeling
  13. Intelligent Pothole Detection and Road Condition Assessment
    2017/10/06 by Bhatt, Umang, Mani, Shouvik, Xi, Edgar +1 · 2 citations
    #Computers and Society (cs.CY) #FOS: Computer and information sciences
  14. FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
    2023/07/28 by Matthew L Barker, Barker, Matthew, Emma Kallina +15 · 3 citations
    Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Business Process Modeling and Analysis #Software System Performance and Reliability
  15. Towards interactive evaluations for interaction harms in human-AI systems
    2024/05/17 by Ibrahim, Lujain, Huang, Saffron, Bhatt, Umang +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  16. Selective Concept Models: Permitting Stakeholder Customisation at Test-Time
    2023/06/14 by Matthew L Barker, Katherine M. Collins, Barker, Matthew +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG)
  17. Modulating Language Model Experiences through Frictions
    2024/06/24 by Katherine M. Collins, Valerie Chen, Collins, Katherine M. +15 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling
  18. Human Uncertainty in Concept-Based AI Systems
    2023/03/22 by Katherine M. Collins, Matthew L Barker, Collins, Katherine M. +15 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning and Data Classification
  19. Machine Learning Explainability for External Stakeholders
    2020/07/10 by Bhatt, Umang, Andrus, McKane, Weller, Adrian +1 · 1 citation
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  20. Diverse, Global and Amortised Counterfactual Explanations for\n Uncertainty Estimates
    2021/12/05 by Dan Ley, Ley, Dan, Umang Bhatt +3 · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Adversarial Robustness in Machine Learning
  21. Learning Personalized Decision Support Policies
    2023/04/13 by Umang Bhatt, Valerie Chen, Bhatt, Umang +11 · 1 citation
    Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Decision-Making and Behavioral Economics #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Smart Grid Energy Management
  22. Iterative Teaching by Data Hallucination
    2022/10/31 by Qiu, Zeju, Liu, Weiyang, Xiao, Tim Z. +5 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Revisiting Rogers' Paradox in the Context of Human-AI Interaction
    2025/01/16 by Collins, Katherine M., Bhatt, Umang, Sucholutsky, Ilia · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. When Should Algorithms Resign? A Proposal for AI Governance
    2024/02/28 by Bhatt, Umang, Sargeant, Holli · 2 citations
    #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  25. When Should We Orchestrate Multiple Agents?
    2025/03/17 by Bhatt, Umang, Kapoor, Sanyam, Upadhyay, Mihir +6 · 1 citation
    #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)