SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.
Algorithmic decision making and the cost of fairness.Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 797–806
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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
SubQuad delivers near-subquadratic retrieval and equity-aware clustering for adaptive immune repertoires, achieving faster throughput and memory use while maintaining recall and subgroup balance on viral and tumor data.