18 citations · 74 across the 14 of their papers we have counts for
5 papers · 1 filter
Finding the Mode of a Kernel Density Estimate
Jasper C. H. Lee, Jerry Li, Christopher Musco +2
Given points in , how do we find a point which maximizes ? In other words, how do we find the maxim…
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
Sitan Chen, Jerry Li, Zhao Song
We consider the problem of learning a mixture of linear regressions (MLRs). An MLR is specified by nonnegative mixing weights summing to , and unknown…
Low-Rank Toeplitz Matrix Estimation via Random Ultra-Sparse Rulers
Hannah Lawrence, Jerry Li, Cameron Musco +1
We study how to estimate a nearly low-rank Toeplitz covariance matrix from compressed measurements. Recent work of Qiao and Pal addresses this problem by combining sparse ruler…
Efficiently Learning Structured Distributions from Untrusted Batches
Sitan Chen, Jerry Li, Ankur Moitra
We study the problem, introduced by Qiao and Valiant, of learning from untrusted batches. Here, we assume users, all of whom have samples from some underlying distribution …
On Mean Estimation for General Norms with Statistical Queries
Jerry Li, Aleksandar Nikolov, Ilya Razenshteyn +1
We study the problem of mean estimation for high-dimensional distributions, assuming access to a statistical query oracle for the distribution. For a normed space $X = (\mathbb{R}^…