activity
20162025
most citedFast Mean Estimation with Sub-Gaussian Rates

25 citations · 76 across the 24 of their papers we have counts for

collaborators
Showing math.STShow all

7 papers · 1 filter

math.ST2024

Heavy-tailed Contamination is Easier than Adversarial Contamination

Yeshwanth Cherapanamjeri, Daniel Lee

A large body of work in the statistics and computer science communities dating back to Huber (Huber, 1960) has led to statistically and computationally efficient outlier-robust est…

math.ST2023

Statistical Barriers to Affine-equivariant Estimation

Zihao Chen, Yeshwanth Cherapanamjeri

We investigate the quantitative performance of affine-equivariant estimators for robust mean estimation. As a natural stability requirement, the construction of such affine-equivar…

math.ST2022

What Makes A Good Fisherman? Linear Regression under Self-Selection Bias

Yeshwanth Cherapanamjeri, Constantinos Daskalakis, Andrew Ilyas +1

In the classical setting of self-selection, the goal is to learn models, simultaneously from observations where is the output of one of under…

math.ST2020★ 3 cited

Optimal Mean Estimation without a Variance

Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett +1

We study the problem of heavy-tailed mean estimation in settings where the variance of the data-generating distribution does not exist. Concretely, given a sample $\mathbf{X} = \{X…

math.ST2019

Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond

Yeshwanth Cherapanamjeri, Samuel B. Hopkins, Tarun Kathuria +2

We study efficient algorithms for linear regression and covariance estimation in the absence of Gaussian assumptions on the underlying distributions of samples, making assumptions…

math.ST2019★ 2 cited

Testing Markov Chains without Hitting

Yeshwanth Cherapanamjeri, Peter L. Bartlett

We study the problem of identity testing of markov chains. In this setting, we are given access to a single trajectory from a markov chain with unknown transition matrix and th…

math.ST2019★ 25 cited

Fast Mean Estimation with Sub-Gaussian Rates

Yeshwanth Cherapanamjeri, Nicolas Flammarion, Peter L. Bartlett

We propose an estimator for the mean of a random vector in that can be computed in time for i.i.d.~samples and that has error bounds matching the s…