Gaurush Hiranandani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 |
| 2025 | ICML | Logits are All We Need to Adapt Closed Models. | Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo |
| 2025 | ICML | 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 |
| 2023 | CIKM | ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. | Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang |
| 2022 | UAI | Quadratic metric elicitation for fairness and beyond. | Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo |
| 2021 | ICML | Optimizing Black-box Metrics with Iterative Example Weighting. | Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo |
| 2020 | ICML | Optimization and Analysis of the pAp@k Metric for Recommender Systems. | Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain |
| 2019 | AISTATS | Performance Metric Elicitation from Pairwise Classifier Comparisons. | Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo |
| 2019 | UAI | 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 |
| 2019 | WSDM | Clustered Monotone Transforms for Rating Factorization. | Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya |
| 2018 | SDM | Sparse Decomposition for Time Series Forecasting and Anomaly Detection. | Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini |
| 2017 | CICLING | Generating Appealing Brand Names. | Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani |
| 2017 | ISMAR | Enhanced Personalized Targeting Using Augmented Reality. | Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram |
| 2016 | WISE | Summarizing Multimedia Content. | Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Utpal, Vaishnavi Subramanian, Shivani Gupta |
| 2015 | DICTA | Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks. | Gaurush Hiranandani, Harish Karnick |