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Sparse Decomposition for Time Series Forecasting and Anomaly Detection.

S. Choudhary, G. Hiranandani, and S. Saini. SDM, page 522-530. SIAM, (2018)

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Quadratic Metric Elicitation with Application to Fairness.G. Hiranandani, J. Mathur, H. Narasimhan, and O. Koyejo. CoRR, (2020)Enhanced Personalized Targeting Using Augmented Reality.G. Hiranandani, K. Ayush, V. Chinnaobireddy, A. Sinha, P. Maneriker, and S. Maram. ISMAR Adjunct, page 69-74. IEEE Computer Society, (2017)Clustered Monotone Transforms for Rating Factorization.G. Hiranandani, R. Somani, O. Koyejo, and S. Acharyya. CoRR, (2018)Performance Metric Elicitation from Pairwise Classifier Comparisons.G. Hiranandani, S. Boodaghians, R. Mehta, and O. Koyejo. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 371-379. PMLR, (2019)Generating Appealing Brand Names.G. Hiranandani, P. Maneriker, and H. Jhamtani. CICLing (2), volume 10762 of Lecture Notes in Computer Science, page 605-616. Springer, (2017)Multiclass Performance Metric Elicitation.G. Hiranandani, S. Boodaghians, R. Mehta, and O. Koyejo. NeurIPS, page 9351-9360. (2019)Fair Performance Metric Elicitation.G. Hiranandani, H. Narasimhan, and O. Koyejo. NeurIPS, (2020)Summarizing Multimedia Content.N. Modani, P. Maneriker, G. Hiranandani, A. Sinha, Utpal, V. Subramanian, and S. Gupta. WISE (2), volume 10042 of Lecture Notes in Computer Science, page 340-348. (2016)Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks.G. Hiranandani, and H. Karnick. DICTA, page 1-8. IEEE, (2015)Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank.G. Hiranandani, H. Singh, P. Gupta, I. Burhanuddin, Z. Wen, and B. Kveton. UAI, volume 115 of Proceedings of Machine Learning Research, page 722-732. AUAI Press, (2019)

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Sparse Decomposition for Time Series Forecasting and Anomaly Detection.

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Disambiguation of "Hiranandani, Gaurush"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sparse Decomposition for Time Series Forecasting and Anomaly Detection.

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Sparse Decomposition for Time Series Forecasting and Anomaly Detection.