Gaurush Hiranandani

Computer Science · Physical Sciences

4h-index61citations28works0.22yr avg
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Research Topics

Recommender Systems and Techniques(7), Machine Learning and Algorithms(7), Topic Modeling(4), Imbalanced Data Classification Techniques(4), Data Stream Mining Techniques(4)

Publications28 total

FisherSFT: Data-Efficient Supervised Fine-Tuning of Language Models Using Information Gain
arXiv (Cornell University)·2025Open Access
An Efficient Plugin Method for Metric Optimization of Black-Box Models
ArXiv.org·2025Open Access
Logits are All We Need to Adapt Closed Models
arXiv (Cornell University)·2025Open Access
Comparing Few to Rank Many: Active Human Preference Learning using Randomized Frank-Wolfe
arXiv (Cornell University)·2024Open Access
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks
arXiv (Cornell University)·2024Open Access
Context-Aware Clustering using Large Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding
2023· 1 citedOpen Access
Metric Elicitation; Moving from Theory to Practice
arXiv (Cornell University)·2022· 2 citedOpen Access
Classification Performance Metric Elicitation and its Applications
arXiv (Cornell University)·2022Open Access
Optimizing Black-box Metrics with Iterative Example Weighting
arXiv (Cornell University)·2021· 2 citedOpen Access
Quadratic Metric Elicitation for Fairness and Beyond
arXiv (Cornell University)·2020Open Access
Quadratic Metric Elicitation with Application to Fairness.
arXiv (Cornell University)·2020Open Access
Optimization and Analysis of the pAp@k Metric for Recommender Systems
International Conference on Machine Learning·2020· 3 cited
Fair Performance Metric Elicitation
arXiv (Cornell University)·2020· 3 citedOpen Access
Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information.
arXiv (Cornell University)·2020· 2 citedOpen Access
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information
arXiv (Cornell University)·2020Open Access
Online Bayesian learning for e-commerce query reformulation
2019
Multiclass Performance Metric Elicitation
Neural Information Processing Systems·2019· 7 cited
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.
Uncertainty in Artificial Intelligence·2019· 9 cited
Online Diverse Learning to Rank from Partial-Click Feedback
arXiv (Cornell University)·2018Open Access
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Frequent Co-authors

Oluwasanmi Koyejo(10), Branislav Kveton(5), Pranav Maneriker(4), Harikrishna Narasimhan(4), Atanu R. Sinha(3), Shant Boodaghians(3), Ruta Mehta(3), Jatin Mathur(3), Karthik Subbian(3), Nurendra Choudhary(3), Harvineet Singh(2), Prakhar Gupta(2), Iftikhar Ahamath Burhanuddin(2), Zheng Wen(2), Sanmi Koyejo(2), Prateek Jain(2), Kumar Ayush(2), Varsha Chinnaobireddy(2), Varun Maram(2), Amar Budhiraja(2)