* stands for equal contribution.

Publications

• ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
  Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, and Sheng Wang.
  In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM, 2023).
  [URL]

• Metric Elicitation; Moving from Theory to Practice
  Safinah Ali*, Sohini Upadhyay*, Gaurush Hiranandani, Elena Glassman, Oluwasanmi Koyejo.
  In Human-Centered AI workshop at Neural Information Processing Systems (NeurIPS), 2022.

• Quadratic Metric Elicitation for Fairness and Beyond
  Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, and Oluwasanmi Koyejo.
  In Uncertainty in Artificial Intelligence (UAI), 2022 (Oral).
  [Arxiv] [Code]

• Optimizing Black-box Metrics with Iterative Example Weighting
  Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, and Harikrishna Narasimhan.
  In International Conference on Machine Learning (ICML), 2021.
  [URL] [Code] [Arxiv]

• Fair Performance Metric Elicitation
  Gaurush Hiranandani, Harikrishna Narasimhan, and Oluwasanmi Koyejo.
  In Neural Information Processing Systems (NeurIPS), 2020.
  [URL] [Arxiv]

• Optimization and Analysis of the pAp@k Metric for Recommender Systems
  Gaurush Hiranandani, Warut Vijitbenjaronk, Oluwasanmi Koyejo, and Prateek Jain.
  In International Conference on Machine Learning (ICML), 2020.
  [URL] [Code]

• Multiclass Performance Metric Elicitation
  Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, and Oluwasanmi Koyejo.
  In Neural Information Processing Systems (NeurIPS), 2019.
  [URL] [Video, Poster, Code]

• Online Bayesian Learning for E-commerce Query Reformulation
  Gaurush Hiranandani, Sumeet Katariya, Nikhil Rao, and Karthik Subbian.
  In Bayesian Deep Learning workshop at Neural Information Processing Systems (NeurIPS), 2019.
  [URL]

• Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank
  Gaurush Hiranandani*, Harvineet Singh*, Prakhar Gupta*, Iftikhar Ahamath Burhanuddin, Zheng Wen, and Branislav Kveton.
  In Uncertainty in Artificial Intelligence (UAI), 2019 (Oral).
  [URL] [Talk Video]

• Performance Metric Elicitation from Pairwise Classifier Comparisons
  Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, and Oluwasanmi Koyejo.
  In Artificial Intelligence and Statistics (AISTATS), 2019.
  [URL]

• Clustered Monotone Transforms for Rating Factorization
  Gaurush Hiranandani*, Raghav Somani*, Oluwasanmi Koyejo, Sreangsu Accharya.
  In Web Search and Data Mining (WSDM), 2019.
  [URL] [Code] [Arxiv URL] [Talk Video]

• Decomposition for Time Series Forecasting and Anomaly Detection
  Sunav Choudhary, Gaurush Hiranandani, and Shiv Kumar Saini.
  SIAM International Conference on Data Mining (SDM), 2018.
  [URL]

• Enhanced Personalized Targeting Using Augmented Reality
  Gaurush Hiranandani, Kumar Ayush, Atanu Sinha, Sai Varun Reddy Maram, Chinnaobireddy Varsha, and Pranav Maneriker.
  International Symposium on Mixed and Augmented Reality (ISMAR), 2017.
  [URL]

• Small Circulant Complex Hadamard Matrices of Butson Type
  Gaurush Hiranandani, and Jean-Marc Schlenker.
  European Journal of Combinatorics, 2016.
  [URL]

• Summarizing Multimedia Content
  Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu Sinha, Utpal, Vaishnavi Subramanian, and Shivani Gupta.
  International Conference on Web Information Systems Engineering (WISE), 2016.
  [URL]