54 citations · 79 across the 14 of their papers we have counts for
7 papers · 1 filter
Quasitubal Tensor Algebra Over Separable Hilbert Spaces
Uria Mor, Haim Avron
The tubal tensor framework provides a clean and effective algebraic setting for tensor computations, supporting matrix-mimetic features like Singular Value Decomposition and Eckart…
Near Optimal Reconstruction of Spherical Harmonic Expansions
Amir Zandieh, Insu Han, Haim Avron
We propose an algorithm for robust recovery of the spherical harmonic expansion of functions defined on the d-dimensional unit sphere using a near-optimal number…
Semi-Infinite Linear Regression and Its Applications
Paz Fink Shustin, Haim Avron
Finite linear least squares is one of the core problems of numerical linear algebra, with countless applications across science and engineering. Consequently, there is a rich and o…
Gauss-Legendre Features for Gaussian Process Regression
Paz Fink Shustin, Haim Avron
Gaussian processes provide a powerful probabilistic kernel learning framework, which allows learning high quality nonparametric regression models via methods such as Gaussian proce…
Quasi Monte Carlo Time-Frequency Analysis
Ron Levie, Haim Avron, Gitta Kutyniok
We study signal processing tasks in which the signal is mapped via some generalized time-frequency transform to a higher dimensional time-frequency space, processed there, and synt…
Tensor-Tensor Products for Optimal Representation and Compression
Misha Kilmer, Lior Horesh, Haim Avron +1
In this era of big data, data analytics and machine learning, it is imperative to find ways to compress large data sets such that intrinsic features necessary for subsequent analys…