On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “least-difference”

Rawlsian Fair Adaptation of Deep Learning Classifierscs.LG

Develops a fair classifier for deep learning models.

problem Ensuring fairness in classification models across different sub-populations.

method Applies Rawlsian principles to minimize error rate on the worst-off sub-population.

result Introduces a practical method to adapt any black-box deep learning model to be fair.

fairness deep learning group fairness Pareto efficiency least-difference

2021-05-31abs ↗pdf ↗

On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSLcs.LG

In various approaches to learning, notably in domain adaptation, active learning, learning under covariate shift, semi-supervised learning, learning with concept drift, and the like, one often wants to compare a baseline classifier to one or more advanced (or at least different) strategies. In this chapter, we basicall…

2017-07-13abs ↗pdf ↗