33 citations · 133 across the 43 of their papers we have counts for
34 papers · 1 filter
Anisotropic local law for non-separable sample covariance matrices
Zhou Fan, Renyuan Ma, Elliot Paquette +1
We establish local laws for sample covariance matrices $K = N^{-1}\sum_{i=1}^N \g_i\g_i^*$ where the random vectors $\g_1, \ldots, \g_N \in \R^n$ are independent with common covari…
Eigenvalue distribution of the Neural Tangent Kernel in the quadratic scaling
Lucas Benigni, Elliot Paquette
We compute the asymptotic eigenvalue distribution of the neural tangent kernel of a two-layer neural network under a specific scaling of dimension. Namely, if $X\in\mathbb{R}^{n\ti…
Bulk asymptotics of the Gaussian -ensemble characteristic polynomial
Gaultier Lambert, Elliot Paquette
The Gaussian -ensemble (GE) is a fundamental model in random matrix theory. In this paper, we provide a comprehensive asymptotic description of the characteristic polynomial…
The Fourier coefficients of the holomorphic multiplicative chaos in the limit of large frequency
Joseph Najnudel, Elliot Paquette, Nick Simm +1
The holomorphic multiplicative chaos (HMC) is a holomorphic analogue of the Gaussian multiplicative chaos. It arises naturally as the limit in large matrix size of the characterist…
Operator level soft edge to bulk transition in -ensembles via canonical systems
Vincent Painchaud, Elliot Paquette
The stochastic Airy and sine operators, which are respectively a random Sturm-Liouville operator and a random Dirac operator, characterize the soft edge and bulk scaling limits of…
The image of random analytic functions: coverage of the complex plane via branching processes
Alon Nishry, Elliot Paquette
We consider the range of random analytic functions with finite radius of convergence. We show that any unbounded random Taylor series with rotationally invariant coefficients has d…
Fitting an ellipsoid to a quadratic number of random points
Afonso S. Bandeira, Antoine Maillard, Shahar Mendelson +1
We consider the problem of fitting standard Gaussian random vectors in to the boundary of a centered ellipsoid, as . This problem…
High-dimensional limit of one-pass SGD on least squares
Elizabeth Collins-Woodfin, Elliot Paquette
We give a description of the high-dimensional limit of one-pass single-batch stochastic gradient descent (SGD) on a least squares problem. This limit is taken with non-vanishing st…
The extremal landscape for the CE ensemble
Elliot Paquette, Ofer Zeitouni
We consider the extremes of the logarithm of the characteristic polynomial of matrices from the CE ensemble. We prove convergence in distribution of the centered maxima (of the…
Random geometric graphs and the spherical Wishart matrix
Elliot Paquette, Andrew Vander Werf
We consider the random geometric graph on vertices drawn uniformly from a --dimensional sphere. We focus on the sparse regime, when the expected degree is constant independe…
Secular Coefficients and the Holomorphic Multiplicative Chaos
Joseph Najnudel, Elliot Paquette, Nick Simm
We study the secular coefficients of random unitary matrices drawn from the Circular -Ensemble, which are defined as the coefficients of in the ch…
Strong approximation of Gaussian -ensemble characteristic polynomials: the edge regime and the stochastic Airy function
Gaultier Lambert, Elliot Paquette
We investigate the characteristic polynomials of the Gaussian -ensemble for general through its transfer matrix recurrence. We show that the rescaled characteristic polyno…
Anchored expansion of Delaunay complexes in real hyperbolic space and stationary point processes
Itai Benjamini, Yoav Krauz, Elliot Paquette
We give sufficient conditions for a discrete set of points in any dimensional real hyperbolic space to have positive anchored expansion. The first condition is a bounded mean densi…
Interval fragmentations with choice: equidistribution and the evolution of tagged fragments
Pascal Maillard, Elliot Paquette
We consider a Markovian evolution on point processes, the --process, on the unit interval in which points are added according to a rule that depends only on the spacings of the…
Strong approximation of Gaussian beta-ensemble characteristic polynomials: the hyperbolic regime
Gaultier Lambert, Elliot Paquette
We investigate the characteristic polynomials of the Gaussian -ensemble for general through its transfer matrix recurrence. Our motivation is to obtain a (probabilis…
On the speed of distance stationary sequences
Matias Carrasco, Pablo Lessa, Elliot Paquette
We prove a formula for the speed of distance stationary random sequences generalizing the law of large numbers of Karlsson and Ledrappier. A particular case is the classical formul…
Spectrum of random perturbations of Toeplitz matrices with finite symbols
Anirban Basak, Elliot Paquette, Ofer Zeitouni
Let denote an Toeplitz matrix with finite, independent symbol . For a noise matrix satisfying mild assumptions (ensuring, in particular, that $…
The maximum deviation of the Sine counting process
Diane Holcomb, Elliot Paquette
In this paper, we consider the maximum of the counting process from its expectation. We show the leading order behavior is consistent with the predictions of log-co…
Regularization of non-normal matrices by Gaussian noise - the banded Toeplitz and twisted Toeplitz cases
Anirban Basak, Elliot Paquette, Ofer Zeitouni
We consider the spectrum of additive, polynomially vanishing random perturbations of deterministic matrices, as follows. Let be a deterministic matrix, and let $G…
A Furstenberg type formula for the speed of distance stationary sequences
Matias Carrasco, Pablo Lessa, Elliot Paquette
We prove a formula for the speed of distance stationary random sequences. A particular case is the classical formula for the largest Lyapunov exponent of an i.i.d. product of two b…
Tridiagonal Models for Dyson Brownian Motion
Diane Holcomb, Elliot Paquette
In this paper, we consider tridiagonal matrices the eigenvalues of which evolve according to -Dyson Brownian motion. This is the stochastic gradient flow on given…
Distributional Lattices on Riemannian symmetric spaces
Elliot Paquette
A Riemannian symmetric space is a Riemannian manifold in which it is possible to reflect all geodesics through a point by an isometry of the space. On such spaces, we introduce the…
The law of large numbers for the maximum of almost Gaussian log-correlated fields coming from random matrices
Gaultier Lambert, Elliot Paquette
We compute the leading asymptotics as of the maximum of the field , , for any unitarily invariant Hermitian random matrix $A…
The maximum of the CUE field
Elliot Paquette, Ofer Zeitouni
Let denote a Haar Unitary matrix of dimension N, and consider the field \[ {\bf U}(z) = \log |\det(1-zU_N)| \] for z in the unit disk. Then, \[ \frac{\max_{|z|=1} {\bf U}(z)…