4 papers
cs.DS2025
Sample-Optimal Private Regression in Polynomial Time
Prashanti Anderson, Ainesh Bakshi, Mahbod Majid +1
We consider the task of privately obtaining prediction error guarantees in ordinary least-squares regression problems with Gaussian covariates (with unknown covariance structure).…
cs.DS2024
SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia +1
We study for random rectangular matrices. If is an matrix with independent Gaussian entries, we give a new family of…
cs.CC2024
Near-Optimal Time-Sparsity Trade-Offs for Solving Noisy Linear Equations
Kiril Bangachev, Guy Bresler, Stefan Tiegel +1
We present a polynomial-time reduction from solving noisy linear equations over in dimension with a u…
cs.DS2024
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
Ilias Diakonikolas, Samuel B. Hopkins, Ankit Pensia +1
We prove that there is a universal constant so that for every , every centered subgaussian distribution on , and every even $p \in…