Gaurush Hiranandani

Orcid: 0009-0002-5718-8959

According to our database1, Gaurush Hiranandani authored at least 22 papers between 2015 and 2024.

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Bibliography

2024
Context-Aware Clustering using Large Language Models.
CoRR, 2024

2023
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Metric Elicitation; Moving from Theory to Practice.
CoRR, 2022

Classification Performance Metric Elicitation and its Applications.
CoRR, 2022

Quadratic metric elicitation for fairness and beyond.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Optimizing Black-box Metrics with Iterative Example Weighting.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Quadratic Metric Elicitation with Application to Fairness.
CoRR, 2020

Rich-Item Recommendations for Rich-Users via GCNN: Exploiting Dynamic and Static Side Information.
CoRR, 2020

Fair Performance Metric Elicitation.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Clustered Monotone Transforms for Rating Factorization.
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.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Multiclass Performance Metric Elicitation.
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.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Online Diverse Learning to Rank from Partial-Click Feedback.
CoRR, 2018

Eliciting Binary Performance Metrics.
CoRR, 2018

Sparse Decomposition for Time Series Forecasting and Anomaly Detection.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

2017
Enhanced Personalized Targeting Using Augmented Reality.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2017

Generating Appealing Brand Names.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

2016
Small circulant complex Hadamard matrices of Butson type.
Eur. J. Comb., 2016

Summarizing Multimedia Content.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

2015
Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015


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