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Highly Cited

2013

Highly Cited

2013

We study the tradeoff between privacy guarantees and the utility of statistical estimators under local differential privacy… Expand

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Highly Cited

2012

Highly Cited

2012

An important way to make large training sets is to gather noisy labels from crowds of nonexperts. We propose a minimax entropy… Expand

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Highly Cited

2010

Highly Cited

2010

We propose MC+, a fast, continuous, nearly unbiased and accurate method of penalized variable selection in high-dimensional… Expand

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Highly Cited

2002

Highly Cited

2002

When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider… Expand

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Highly Cited

1999

Highly Cited

1999

We study a simple \Horizon Model" for the problem of recovering an image from noisy data; in this model the image has an edge… Expand

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Highly Cited

1998

Highly Cited

1998

A new principle for choosing portfolios based on historical returns data is introduced; the optimal portfolio based on this… Expand

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Highly Cited

1997

Highly Cited

1997

This article proposes a general theory and methodology, called the minimax entropy principle, for building statistical models for… Expand

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Highly Cited

1996

Highly Cited

1996

One of the major concentrated activities of the past decade in control theory has been the development of the so-called "H… Expand

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Highly Cited

1958

Highly Cited

1953

Highly Cited

1953

The problem formulated below was motivated by that of determining an interval containing the point at which a unimodal function… Expand

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