activity
20092026
most citedRandom Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees

82 citations · 359 across the 49 of their papers we have counts for

collaborators

53 papers

cs.LG2026

Exact Symmetry as Algebra: Group-Structured Tensors that Enforce Physical Selection Rules

Paulina Hoyos, Shashanka Ubaru, Dongsung Huh +5

Symmetry determines which physical responses of molecules and crystals are allowed and underlies many models used throughout the physical sciences. Yet several widely used machine-…

quant-ph2025

On Encoding Matrices using Quantum Circuits

Liron Mor Yosef, Haim Avron

Over a decade ago, it was demonstrated that quantum computing has the potential to revolutionize numerical linear algebra by enabling algorithms with complexity superior to what is…

cs.LG2025

Unbiased Stochastic Optimization for Gaussian Processes on Finite Dimensional RKHS

Neta Shoham, Haim Avron

Current methods for stochastic hyperparameter learning in Gaussian Processes (GPs) rely on approximations, such as computing biased stochastic gradients or using inducing points in…

cs.LG2025

Flatness After All?

Neta Shoham, Liron Mor-Yosef, Haim Avron

Recent literature generalization in deep learning has examined the relationship between the curvature of the loss function at minima and generalization, mainly in the context of ov…

math.NA2025

Demystifying Tubal Tensor Algebra

Haim Avron, Uria Mor

Developed in a series of seminal papers in the early 2010s, the tubal tensor framework provides a clean and effective algebraic setting for tensor computations, supporting matrix-m…

math.NA2025

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…