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20102015
most citedActive Diagnosis via AUC Maximization: An Efficient Approach for Multiple Fault Identification in Large Scale, Noisy Networks

4 citations · 9 across the 5 of their papers we have counts for

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3 papers · 1 filter

stat.ML2015★ 2 cited

Sparse Approximation of a Kernel Mean

E. Cruz Cortés, C. Scott

Kernel means are frequently used to represent probability distributions in machine learning problems. In particular, the well known kernel density estimator and the kernel mean emb…

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.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…