We study the problem of solving semidefinite programs (SDP) in the strea...
Large language models have shown impressive performance in many tasks. O...
Quadratic programming is a fundamental problem in the field of convex
op...
Weighted low rank approximation is a fundamental problem in numerical li...
Given a convex function f on ℝ^n with an integer minimizer, we
show how ...
Given a matrix M∈ℝ^m× n, the low rank matrix completion
problem asks us ...
Given a matrix A∈ℝ^n× d and a vector b∈ℝ^n, we consider the regression p...
Projection maintenance is one of the core data structure tasks. Efficien...
Sketching is one of the most fundamental tools in large-scale machine
le...
In this work, we initiate the study of Dynamic Tensor Product
Regression...
In this paper, we study the problem of speeding up a type of optimizatio...
We present a general framework that utilizes different efficient data
st...
We consider the problem of training a multi-layer over-parametrized neur...
Kernel methods are fundamental in machine learning, and faster algorithm...