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20092026
most citedJet-Images -- Deep Learning Edition

281 citations · 1.3k across the 71 of their papers we have counts for

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5 papers · 1 filter

math.PR2022★ 1 cited

Efficient Concentration with Gaussian Approximation

Morgane Austern, Lester Mackey

Concentration inequalities for the sample mean, like those due to Bernstein, Hoeffding, and Bentkus, are valid for any sample size but overly conservative, yielding confidence inte…

math.PR2015

Multivariate Stein Factors for a Class of Strongly Log-concave Distributions

Lester Mackey, Jackson Gorham

We establish uniform bounds on the low-order derivatives of Stein equation solutions for a broad class of multivariate, strongly log-concave target distributions. These "Stein fact…

math.PR2014★ 2 cited

Efron-Stein Inequalities for Random Matrices

Daniel Paulin, Lester Mackey, Joel A. Tropp

This paper establishes new concentration inequalities for random matrices constructed from independent random variables. These results are analogous with the generalized Efron-Stei…

math.PR2013★ 7 cited

Deriving Matrix Concentration Inequalities from Kernel Couplings

Daniel Paulin, Lester Mackey, Joel A. Tropp

This paper derives exponential tail bounds and polynomial moment inequalities for the spectral norm deviation of a random matrix from its mean value. The argument depends on a matr…

math.PR2012★ 78 cited

Matrix concentration inequalities via the method of exchangeable pairs

Lester Mackey, Michael I. Jordan, Richard Y. Chen +2

This paper derives exponential concentration inequalities and polynomial moment inequalities for the spectral norm of a random matrix. The analysis requires a matrix extension of t…