Gaurush Hiranandani

According to our database, Gaurush Hiranandani authored at least 24 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe.

Kiran Koshy Thekumparampil, Gaurush Hiranandani, Kousha Kalantari, Shoham Sabach, Branislav Kveton

CoRR, 2024

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.

Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian

CoRR, 2024

Context-Aware Clustering using Large Language Models.

Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy

CoRR, 2024

2023

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

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Metric Elicitation; Moving from Theory to Practice.

Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo

CoRR, 2022

Classification Performance Metric Elicitation and its Applications.

Gaurush Hiranandani

CoRR, 2022

Quadratic metric elicitation for fairness and beyond.

Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Optimizing Black-box Metrics with Iterative Example Weighting.

Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Quadratic Metric Elicitation with Application to Fairness.

Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo

CoRR, 2020

Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information.

Amar Budhiraja, Gaurush Hiranandani, Navya Yarrabelly, Ayush Choure, Oluwasanmi Koyejo, Prateek Jain

CoRR, 2020

Fair Performance Metric Elicitation.

Gaurush Hiranandani, Harikrishna Narasimhan, Oluwasanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimization and Analysis of the pAp@k Metric for Recommender Systems.

Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Clustered Monotone Transforms for Rating Factorization.

Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 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

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Multiclass Performance Metric Elicitation.

Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Performance Metric Elicitation from Pairwise Classifier Comparisons.

Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Online Diverse Learning to Rank from Partial-Click Feedback.

Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh, Branislav Kveton, Zheng Wen, Iftikhar Ahamath Burhanuddin

CoRR, 2018

Eliciting Binary Performance Metrics.

Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta, Oluwasanmi Koyejo

CoRR, 2018

Sparse Decomposition for Time Series Forecasting and Anomaly Detection.

Sunav Choudhary, Gaurush Hiranandani, Shiv Kumar Saini

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017

Enhanced Personalized Targeting Using Augmented Reality.

Gaurush Hiranandani, Kumar Ayush, Varsha Chinnaobireddy, Atanu R. Sinha, Pranav Maneriker, Sai Varun Reddy Maram

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Generating Appealing Brand Names.

Gaurush Hiranandani, Pranav Maneriker, Harsh Jhamtani

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016

Small circulant complex Hadamard matrices of Butson type.

Gaurush Hiranandani, Jean-Marc Schlenker

Eur. J. Comb., 2016

Summarizing Multimedia Content.

Natwar Modani, Pranav Maneriker, Gaurush Hiranandani, Atanu R. Sinha, Utpal, Vaishnavi Subramanian, Shivani Gupta

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015

Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks.

Gaurush Hiranandani, Harish Karnick

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015