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Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

S. Havaldar, J. Chauhan, K. Shanmugam, J. Nandy, and A. Raghuveer. AAAI, page 12331-12339. AAAI Press, (2024)

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WOOster: A Map-Reduce based Platform for Graph Mining.A. Raghuveer. COMAD, page 105-113. Allied Publishers, (2011)Towards efficient search on unstructured data: an intelligent-storage approach.A. Raghuveer, M. Jindal, M. Mokbel, B. Debnath, and D. Du. CIKM, page 951-954. ACM, (2007)Label Differential Privacy via Aggregation.A. Brahmbhatt, R. Saket, S. Havaldar, A. Nasery, and A. Raghuveer. CoRR, (2023)LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions.A. Brahmbhatt, M. Pokala, R. Saket, and A. Raghuveer. CoRR, (2023)Walking with PACE - Personalized and Automated Coaching Engine.M. Vardhan, N. Hegde, S. Merugu, S. Prabhat, D. Nathani, M. Seneviratne, N. Muhammad, P. Reddy, S. Lakshminarasimhan, R. Singh and 4 other author(s). UMAP, page 57-68. ACM, (2022)Domain-Agnostic Contrastive Representations for Learning from Label Proportions.J. Nandy, R. Saket, P. Jain, J. Chauhan, B. Ravindran, and A. Raghuveer. CIKM, page 1542-1551. ACM, (2022)Multi-Variate Time Series Forecasting on Variable Subsets.J. Chauhan, A. Raghuveer, R. Saket, J. Nandy, and B. Ravindran. KDD, page 76-86. ACM, (2022)T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation.A. Jangra, P. Nema, and A. Raghuveer. EMNLP, page 8805-8825. Association for Computational Linguistics, (2022)Enabling database-aware storage with OSD.A. Raghuveer, S. Schlosser, and S. Iren. MSST, page 129-142. IEEE Computer Society, (2007)Network-aware rate adaptation for video streaming.A. Raghuveer, E. Kusmierek, and D. Du. ICME, page 1039-1042. IEEE Computer Society, (2004)

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Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

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Disambiguation of "Raghuveer, Aravindan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

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Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.