Socially Responsible AI Algorithms: Issues, Purposes, and Challenges von Cheng, Lu, Varshney, Kush R., Liu, Huan

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Bounded Confidence Opinion Dynamics in a Social Network of Bayesian Decision Makers von Varshney, Kush R.

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Interventional Fairness with Indirect Knowledge of Unobserved Protected Attributes von Galhotra, Sainyam, Shanmugam, Karthikeyan, Sattigeri, Prasanna, Varshney, Kush R.

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On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products von Varshney, Kush R, Alemzadeh, Homa

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Human-centered explainability for life sciences, healthcare, and medical informatics von Dey, Sanjoy, Chakraborty, Prithwish, Kwon, Bum Chul, Dhurandhar, Amit, Ghalwash, Mohamed, Suarez Saiz, Fernando J., Ng, Kenney, Sow, Daby, Varshney, Kush R., Meyer, Pablo

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Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates von Han, Barbara A., Majumdar, Subhabrata, Calmon, Flavio P., Glicksberg, Benjamin S., Horesh, Raya, Kumar, Abhishek, Perer, Adam, von Marschall, Elisa B., Wei, Dennis, Mojsilović, Aleksandra, Varshney, Kush R.

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Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning von Tadesse, Girmaw Abebe, Cintas, Celia, Varshney, Kush R., Staar, Peter, Agunwa, Chinyere, Speakman, Skyler, Jia, Justin, Bailey, Elizabeth E., Adelekun, Ademide, Lipoff, Jules B., Onyekaba, Ginikanwa, Lester, Jenna C., Rotemberg, Veronica, Zou, James, Daneshjou, Roxana

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A synergistic future for AI and ecology von Han, Barbara A, Varshney, Kush R, LaDeau, Shannon, Subramaniam, Ajit, Weathers, Kathleen C, Zwart, Jacob

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Collaborative Kalman Filtering for Dynamic Matrix Factorization von Sun, John Z., Parthasarathy, Dhruv, Varshney, Kush R.

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Decision Making With Quantized Priors Leads to Discrimination von Varshney, Lav R., Varshney, Kush R.

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Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis von Calmon, Flavio Du Pin, Wei, Dennis, Vinzamuri, Bhanukiran, Ramamurthy, Karthikeyan Natesan, Varshney, Kush R.

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Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar von Varshney, K.R., Cetin, M., Fisher, J.W., Willsky, A.S.

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Bayes Risk Error is a Bregman Divergence von Varshney, K. R.

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Think Your Artificial Intelligence Software Is Fair? Think Again von Bellamy, Rachel K.E., Dey, Kuntal, Hind, Michael, Hoffman, Samuel C., Houde, Stephanie, Kannan, Kalapriya, Lohia, Pranay, Mehta, Sameep, Mojsilovic, Aleksandra, Nagar, Seema, Ramamurthy, Karthikeyan Natesan, Richards, John, Saha, Diptikalyan, Sattigeri, Prasanna, Singh, Moninder, Varshney, Kush R., Zhang, Yunfeng

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The incentive gap in data work in the era of large models von Gero, Katy Ilonka, Das, Payel, Dognin, Pierre, Padhi, Inkit, Sattigeri, Prasanna, Varshney, Kush R.

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AI Fairness von Michael Hind, Trisha Mahoney, Kush R. Varshney

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Generalization Error of Linear Discriminant Analysis in Spatially-Correlated Sensor Networks von Varshney, K. R.

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Linear Dimensionality Reduction for Margin-Based Classification: High-Dimensional Data and Sensor Networks von Varshney, Kush R, Willsky, A S

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Associative Algorithms for Computational Creativity von Varshney, Lav R., Wang, Jun, Varshney, Kush R.

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Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning von Ogallo, William, Speakman, Skyler, Akinwande, Victor, Varshney, Kush R, Walcott-Bryant, Aisha, Wayua, Charity, Weldemariam, Komminist, Mershon, Claire-Helene, Orobaton, Nosa

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