activity
20132022
most citedEfficient Convex Optimization with Membership Oracles

24 citations · 108 across the 21 of their papers we have counts for

collaborators
Showing cs.DSShow all

23 papers · 1 filter

cs.DS2022

Nested Dissection Meets IPMs: Planar Min-Cost Flow in Nearly-Linear Time

Sally Dong, Yu Gao, Gramoz Goranci +4

We present a nearly-linear time algorithm for finding a minimum-cost flow in planar graphs with polynomially bounded integer costs and capacities. The previous fastest algorithm fo…

cs.DS2021

Computing Lewis Weights to High Precision

Maryam Fazel, Yin Tat Lee, Swati Padmanabhan +1

We present an algorithm for computing approximate Lewis weights to high precision. Given a full-rank with and a scalar…

cs.DS20213 cited

Tutorial on the Robust Interior Point Method

Yin Tat Lee, Santosh S. Vempala

We give a short, self-contained proof of the interior point method and its robust version.

cs.DS20215 cited

Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions

Yin Tat Lee, Ruoqi Shen, Kevin Tian

We give lower bounds on the performance of two of the most popular sampling methods in practice, the Metropolis-adjusted Langevin algorithm (MALA) and multi-step Hamiltonian Monte…

cs.DS2021

Numerical Composition of Differential Privacy

Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz

We give a fast algorithm to optimally compose privacy guarantees of differentially private (DP) algorithms to arbitrary accuracy. Our method is based on the notion of privacy loss…

cs.DS2020

Structured Logconcave Sampling with a Restricted Gaussian Oracle

Yin Tat Lee, Ruoqi Shen, Kevin Tian

We give algorithms for sampling several structured logconcave families to high accuracy. We further develop a reduction framework, inspired by proximal point methods in convex opti…