Online Stochastic Matching: New Algorithms and Bounds von Brubach, Brian, Sankararaman, Karthik Abinav, Srinivasan, Aravind, Xu, Pan

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Online Matching Frameworks Under Stochastic Rewards, Product Ranking, and Unknown Patience von Brubach, Brian, Grammel, Nathaniel, Ma, Will, Srinivasan, Aravind

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Attenuate Locally, Win Globally: Attenuation-Based Frameworks for Online Stochastic Matching with Timeouts von Brubach, Brian, Sankararaman, Karthik A., Srinivasan, Aravind, Xu, Pan

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Further Improvement in Approximating the Maximum Duo-Preservation String Mapping Problem von Brubach, Brian

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Algorithms to Approximate Column-sparse Packing Problems von Brubach, Brian, Sankararaman, Karthik A., Srinivasan, Aravind, Xu, Pan

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Improved Bound for Online Square-into-Square Packing von Brubach, Brian

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Current progress and future opportunities in applications of bioinformatics for biodefense and pathogen detection: report from the Winter Mid-Atlantic Microbiome Meet-up, College P... von Meisel, Jacquelyn S, Nasko, Daniel J, Brubach, Brian, Cepeda-Espinoza, Victoria, Chopyk, Jessica, Corrada-Bravo, Héctor, Fedarko, Marcus, Ghurye, Jay, Javkar, Kiran, Olson, Nathan D, Shah, Nidhi, Allard, Sarah M, Bazinet, Adam L, Bergman, Nicholas H, Brown, Alexis, Caporaso, J Gregory, Conlan, Sean, DiRuggiero, Jocelyne, Forry, Samuel P, Hasan, Nur A, Kralj, Jason, Luethy, Paul M, Milton, Donald K, Ondov, Brian D, Preheim, Sarah, Ratnayake, Shashikala, Rogers, Stephanie M, Rosovitz, M J, Sakowski, Eric G, Schliebs, Nils Oliver, Sommer, Daniel D, Ternus, Krista L, Uritskiy, Gherman, Zhang, Sean X, Pop, Mihai, Treangen, Todd J

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Characterizing Properties and Trade-offs of Centralized Delegation Mechanisms in Liquid Democracy von Brubach, Brian, Ballarin, Audrey, Nazeer, Heeba

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Fair Labeled Clustering von Esmaeili, Seyed A, Duppala, Sharmila, Dickerson, John P, Brubach, Brian

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Implications of Distance over Redistricting Maps: Central and Outlier Maps von Esmaeili, Seyed A, Chakrabarti, Darshan, Grape, Hayley, Brubach, Brian

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Improved Online Square-into-Square Packing von Brubach, Brian

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Fair Clustering Under a Bounded Cost von Esmaeili, Seyed A, Brubach, Brian, Srinivasan, Aravind, Dickerson, John P

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Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes von Brubach, Brian, Grammel, Nathaniel, Ma, Will, Srinivasan, Aravind

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Probabilistic Fair Clustering von Esmaeili, Seyed A, Brubach, Brian, Tsepenekas, Leonidas, Dickerson, John P

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It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks von Bao, Michelle, Zhou, Angela, Zottola, Samantha, Brubach, Brian, Desmarais, Sarah, Horowitz, Aaron, Lum, Kristian, Venkatasubramanian, Suresh

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Online Matching Frameworks under Stochastic Rewards, Product Ranking, and Unknown Patience von Brubach, Brian, Grammel, Nathaniel, Ma, Will, Srinivasan, Aravind

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Online Matching Frameworks under Stochastic Rewards, Product Ranking, and Unknown Patience von Brubach, Brian, Grammel, Nathaniel, Ma, Will, Srinivasan, Aravind

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Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints von Brubach, Brian, Chakrabarti, Darshan, Dickerson, John P, Srinivasan, Aravind, Tsepenekas, Leonidas

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Fair Labeled Clustering von Esmaeili, Seyed A, Duppala, Sharmila, Dickerson, John P, Brubach, Brian

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Probabilistic Fair Clustering von Esmaeili, Seyed A, Brubach, Brian, Tsepenekas, Leonidas, Dickerson, John P

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