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* contributed equally.

  1. FAccT
    Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems
    Pedro Silva, Bhawna Juneja, Shloka Desai, Ashudeep Singh, and Nadia Fawaz
    In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023.
  2. CIKM
    RecRec: Algorithmic Recourse for Recommender Systems
    Sahil Verma, Ashudeep Singh, Varich Boonsanong, John P. Dickerson, and Chirag Shah
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023.
    1. NeurIPS
      Fairness in Ranking under Uncertainty
      Ashudeep Singh, David Kempe, and Thorsten Joachims
      In Neural Information Processing Systems (NeurIPS), 2021.
    1. SIGIR Best Paper Award
      Controlling Fairness and Bias in Dynamic Learning-to-Rank
      Marco Morik*, Ashudeep Singh*, Jessica Hong, and Thorsten Joachims
      In Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval, 2020.
    2. FAccTRec
      Building Healthy Recommendation Sequences for Everyone: A Safe Reinforcement Learning Approach
      Ashudeep Singh, Yoni Halpern, Nithum Thain, Konstantina Christakopoulou, Ed H. Chi, Jilin Chen, and Alex Beutel
      In FAccTRec Workshop at ACM RecSyS, 2020.
    1. NeurIPS
      Policy Learning for Fairness in Ranking
      Ashudeep Singh, and Thorsten Joachims
      In Neural Information Processing Systems (NeurIPS), 2019.
    1. KDD
      Fairness of Exposure in Rankings
      Ashudeep Singh, and Thorsten Joachims
      In In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, 2018.
    1. NeurIPS Workshop
      Equality of Opportunity in Rankings
      Ashudeep Singh, and Thorsten Joachims
      In Workshop On Prioritizing Online Content (WPOC) at NeurIPS, 2017.
    2. NeurIPS Workshop
      Learning item embeddings using biased feedback
      Ashudeep Singh, and Thorsten Joachims
      In NeurIPS Workshop on Causal Inference and Machine Learning for Intelligent Decision Making, 2017.
    1. ICML
      Recommendations as treatments: Debiasing learning and evaluation
      Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, and Thorsten Joachims
      In International Conference on Machine Learning (ICML), 2016.
      1. Preprint
        A Semantic Approach to Summarization
        Divyanshu Bhartiya*, and Ashudeep Singh*
        arXiv preprint arXiv:1406.1203 2014.
      2. ITS
        Predicting Student Learning from Conversational Cues
        David Adamson, Akash Bharadwaj, Ashudeep Singh, Colin Ashe, David Yaron, and Carolyn P Rosé
        In International Conference on Intelligent Tutoring Systems (ITS), 2014.
      1. AIED
        Automatically Generating Discussion Questions
        David Adamson, Divyanshu Bhartiya, Biman Gujral, Radhika Kedia, Ashudeep Singh, and Carolyn P. Rosé
        In International Conference on Artificial Intelligence in Education (AIED), 2013.