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20132026
most citedMatrix Concentration Inequalities and Free Probability

34 citations · 63 across the 26 of their papers we have counts for

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math.PR2026

Testing the mixture model hypothesis via spectral gap

March T. Boedihardjo, Joe Kileel, Vandy Tombs

In this paper, we study the problem of testing whether or not a given probability measure on can be decomposed as a mixture of two probability measures whose s…

math.PR2025

Optimality of empirical measures as quantizers

March T. Boedihardjo

A common way to discretize a probability measure is to use an empirical measure as a discrete approximation. But how far from being optimal is this approximation in the p-Wasserste…

math.PR2025

Injective norm of random tensors with independent entries

March T. Boedihardjo

We obtain a non-asymptotic bound for the expected injective norm of a random tensor with independent entries. This bound is similar to the bound by Bandeira and van Handel (2016) f…

math.PR2024

Max-sliced 2-Wasserstein distance

March T. Boedihardjo

This note is a continuation of the author's previous work on "Sharp bounds for the max-sliced Wasserstein distance." We use the same technique to obtain an upper bound for the expe…

math.PR2024

Sharp bounds for max-sliced Wasserstein distances

March T. Boedihardjo

We obtain essentially matching upper and lower bounds for the expected max-sliced 1-Wasserstein distance between a probability measure on a separable Hilbert space and its empirica…

math.PR2023

Covariance loss, Szemeredi regularity, and differential privacy

March Boedihardjo, Thomas Strohmer, Roman Vershynin

We show how randomized rounding based on Grothendieck's identity can be used to prove a nearly tight bound on the covariance loss--the amount of covariance that is lost by taking c…

math.PR2021★ 34 cited

Matrix Concentration Inequalities and Free Probability

Afonso S. Bandeira, March T. Boedihardjo, Ramon van Handel

A central tool in the study of nonhomogeneous random matrices, the noncommutative Khintchine inequality, yields a nonasymptotic bound on the spectral norm of general Gaussian rando…

math.PR2021★ 1 cited

The spectral norm of Gaussian matrices with correlated entries

Afonso S. Bandeira, March T. Boedihardjo

We give a non-asymptotic bound on the spectral norm of a matrix with centered jointly Gaussian entries in terms of the covariance matrix of the entries. In some cas…

math.PR2019

Estimation of expected value of function of i.i.d. Bernoulli random variables

March T. Boedihardjo

We estimate the expected value of certain function . For example, with computer assistance, we show that if is the Laplacian of the Cayley graph of…

math.PR2016★ 1 cited

Asymptotic *-moments of some random Vandermonde matrices

March Boedihardjo, Ken Dykema

Appropriately normalized square random Vandermonde matrices based on independent random variables with uniform distribution on the unit circle are studied. It is shown that as the…

math.PR2015

Maximum moments of sum of independent random matrices

March Boedihardjo

We show that the maximum moments of the sum of independent positive semidefinite random matrices with given norm upper bounds and norms of expectations is attained when all the ran…