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ORCIDGaurush Hiranandani
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2020 – today
- 2024
[i13]Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy:
Context-Aware Clustering using Large Language Models. CoRR abs/2405.00988 (2024)- [i12]Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian:
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR abs/2407.14996 (2024) - 2023
- [c14]Zixuan Liu
, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM 2023: 1523-1533 - [i11]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR abs/2310.04865 (2023) - 2022
- [c13]Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Quadratic metric elicitation for fairness and beyond. UAI 2022: 811-821 - [i10]Gaurush Hiranandani:
Classification Performance Metric Elicitation and its Applications. CoRR abs/2208.09142 (2022) - [i9]Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo:
Metric Elicitation; Moving from Theory to Practice. CoRR abs/2212.03495 (2022) - 2021
- [c12]Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo:
Optimizing Black-box Metrics with Iterative Example Weighting. ICML 2021: 4239-4249 - [i8]Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan:
Optimizing Black-box Metrics with Iterative Example Weighting. CoRR abs/2102.09492 (2021) - 2020
- [c11]Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain:
Optimization and Analysis of the pAp@k Metric for Recommender Systems. ICML 2020: 4260-4270 - [c10]Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Fair Performance Metric Elicitation. NeurIPS 2020 - [i7]Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain:
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information. CoRR abs/2001.10495 (2020) - [i6]Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Fair Performance Metric Elicitation. CoRR abs/2006.12732 (2020) - [i5]Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Quadratic Metric Elicitation with Application to Fairness. CoRR abs/2011.01516 (2020)
2010 – 2019
- 2019
- [c9]Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo:
Performance Metric Elicitation from Pairwise Classifier Comparisons. AISTATS 2019: 371-379 - [c8]Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo:
Multiclass Performance Metric Elicitation. NeurIPS 2019: 9351-9360 - [c7]Gaurush Hiranandani, Harvineet Singh, Prakhar Gupta, Iftikhar Ahamath Burhanuddin, Zheng Wen, Branislav Kveton:
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank. UAI 2019: 722-732 - [c6]Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. WSDM 2019: 132-140 - 2018
- [c5]Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini:
Sparse Decomposition for Time Series Forecasting and Anomaly Detection. SDM 2018: 522-530 - [i4]Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo:
Eliciting Binary Performance Metrics. CoRR abs/1806.01827 (2018) - [i3]Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. CoRR abs/1811.00159 (2018) - [i2]Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin:
Online Diverse Learning to Rank from Partial-Click Feedback. CoRR abs/1811.00911 (2018) - 2017
- [c4]Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani:
Generating Appealing Brand Names. CICLing (2) 2017: 605-616 - [c3]Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram:
Enhanced Personalized Targeting Using Augmented Reality. ISMAR Adjunct 2017: 69-74 - [i1]Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani:
Generating Appealing Brand Names. CoRR abs/1706.09335 (2017) - 2016
- [j1]Gaurush Hiranandani, Jean-Marc Schlenker:
Small circulant complex Hadamard matrices of Butson type. Eur. J. Comb. 51: 306-314 (2016) - [c2]Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Utpal, Vaishnavi Subramanian, Shivani Gupta:
Summarizing Multimedia Content. WISE (2) 2016: 340-348 - 2015
- [c1]Gaurush Hiranandani, Harish Karnick:
Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks. DICTA 2015: 1-8
Coauthor Index
aka: Sanmi Koyejo
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