Gaurush Hiranandani

35 papers A* 7A 6Misc 1Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Plugin Method for Metric Optimization of Black-Box Models. CoRR Siddartha Devic, Nurendra Choudhary, Anirudh Srinivasan, Sahika Genc, Branislav Kveton, Gaurush Hiranandani
2025	A*	`conf`	Comparing Few to Rank Many: Active Human Preference Learning Using Randomized Frank-Wolfe Method. ICML Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton
2025	A*	`conf`	FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. ICML Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
2025	J	`jnl`	FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain. CoRR Rohan Deb, Kiran Koshy Thekumparampil, Kousha Kalantari, Gaurush Hiranandani, Shoham Sabach, Branislav Kveton
2025	A*	`conf`	Logits are All We Need to Adapt Closed Models. ICML Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo
2025	J	`jnl`	Logits are All We Need to Adapt Closed Models. CoRR Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo
2024	J	`jnl`	All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
2024	J	`jnl`	Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe. CoRR Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton
2024	J	`jnl`	Context-Aware Clustering using Large Language Models. CoRR Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
2023	A	`conf`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2023	J	`jnl`	ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang
2022	J	`jnl`	Classification Performance Metric Elicitation and its Applications. CoRR Gaurush Hiranandani
2022	J	`jnl`	Metric Elicitation; Moving from Theory to Practice. CoRR Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo
2022	A	`conf`	Quadratic metric elicitation for fairness and beyond. UAI Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2021	A*	`conf`	Optimizing Black-box Metrics with Iterative Example Weighting. ICML Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo
2021	J	`jnl`	Optimizing Black-box Metrics with Iterative Example Weighting. CoRR Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan
2020	A*	`conf`	Fair Performance Metric Elicitation. NeurIPS Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	J	`jnl`	Fair Performance Metric Elicitation. CoRR Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	A*	`conf`	Optimization and Analysis of the pAp@k Metric for Recommender Systems. ICML Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain
2020	J	`jnl`	Quadratic Metric Elicitation with Application to Fairness. CoRR Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
2020	J	`jnl`	Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information. CoRR Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain
2019	A	`conf`	Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton
2019	A	`conf`	Clustered Monotone Transforms for Rating Factorization. WSDM Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2019	A*	`conf`	Multiclass Performance Metric Elicitation. NeurIPS Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2019	A	`conf`	Performance Metric Elicitation from Pairwise Classifier Comparisons. AISTATS Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2018	J	`jnl`	Clustered Monotone Transforms for Rating Factorization. CoRR Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2018	J	`jnl`	Eliciting Binary Performance Metrics. CoRR Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo
2018	J	`jnl`	Online Diverse Learning to Rank from Partial-Click Feedback. CoRR Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin
2018	A	`conf`	Sparse Decomposition for Time Series Forecasting and Anomaly Detection. SDM Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini
2017	—	`conf`	Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram
2017	—	`conf`	Generating Appealing Brand Names. CICLing (2) Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani
2017	J	`jnl`	Generating Appealing Brand Names. CoRR Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani
2016	J	`jnl`	Small circulant complex Hadamard matrices of Butson type. Eur. J. Comb. Gaurush Hiranandani, Jean-Marc Schlenker
2016	—	`conf`	Summarizing Multimedia Content. WISE (2) Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Utpal, Vaishnavi Subramanian, Shivani Gupta
2015	Misc	`conf`	Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks. DICTA Gaurush Hiranandani, Harish Karnick