173 citations · 600 across the 40 of their papers we have counts for
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stat.ML2010★ 2 cited
Calibrated Surrogate Losses for Classification with Label-Dependent Costs
Clayton Scott
We present surrogate regret bounds for arbitrary surrogate losses in the context of binary classification with label-dependent costs. Such bounds relate a classifier's risk, assess…
stat.AP2010
Statistical File Matching of Flow Cytometry Data
Gyemin Lee, William Finn, Clayton Scott
Flow cytometry is a technology that rapidly measures antigen-based markers associated to cells in a cell population. Although analysis of flow cytometry data has traditionally cons…
stat.ML2010★ 1 cited
Query Learning with Exponential Query Costs
Gowtham Bellala, Suresh Bhavnani, Clayton Scott
In query learning, the goal is to identify an unknown object while minimizing the number of "yes" or "no" questions (queries) posed about that object. A well-studied algorithm for…