Hiranandani, Gaurush

11 publications

ICML 2025 Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton

ICLRW 2025 Data-Efficient Supervised Fine-Tuning of Language Models Using Optimal Design Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton

ICML 2025 FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton

ICML 2025 Logits Are All We Need to Adapt Closed Models Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo

UAI 2022 Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo

ICML 2021 Optimizing Black-Box Metrics with Iterative Example Weighting Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo

NeurIPS 2020 Fair Performance Metric Elicitation Gaurush Hiranandani, Harikrishna Narasimhan, Sanmi Koyejo

ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

UAI 2019 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, Branislav Kveton

NeurIPS 2019 Multiclass Performance Metric Elicitation Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi O Koyejo

AISTATS 2019 Performance Metric Elicitation from Pairwise Classifier Comparisons Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo