Kevin A. Lai

activity

20152020

most citedLast-iterate convergence rates for min-max optimization

34 citations · 68 across the 7 of their papers we have counts for

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Showing cs.DSShow all

4 papers · 1 filter

cs.DS2018★ 5 cited

Differential Privacy for Growing Databases

Rachel Cummings, Sara Krehbiel, Kevin A. Lai +1

We study the design of differentially private algorithms for adaptive analysis of dynamically growing databases, where a database accumulates new data entries while the analysis is…

cs.DS2017

$ℓ_{1}$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent

David Durfee, Kevin A. Lai, Saurabh Sawlani

We present preconditioned stochastic gradient descent (SGD) algorithms for the $ℓ_{1}$ minimization problem $min_{x} ∥ A x - b ∥_{1}$ in the overdetermined case, where there are far…

cs.DS2016

Agnostic Estimation of Mean and Covariance

Kevin A. Lai, Anup B. Rao, Santosh Vempala

We consider the problem of estimating the mean and covariance of a distribution from iid samples in $R^{n}$ , in the presence of an $η$ fraction of malicious noise; this is i…

cs.DS2015

Amortized Rotation Cost in AVL Trees

Mahdi Amani, Kevin A. Lai, Robert E. Tarjan

An AVL tree is the original type of balanced binary search tree. An insertion in an $n$ -node AVL tree takes at most two rotations, but a deletion in an $n$ -node AVL tree can take $…

Differential Privacy for Growing Databases

ℓ1​ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent

Agnostic Estimation of Mean and Covariance

Amortized Rotation Cost in AVL Trees

$ℓ_{1}$ Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent