activity
20152025
most citedUn-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization

67 citations · 176 across the 22 of their papers we have counts for

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Showing 2019Show all

16 papers · 1 filter

cs.DS20191 cited

Faster Matroid Intersection

Deeparnab Chakrabarty, Yin Tat Lee, Aaron Sidford +2

In this paper we consider the classic matroid intersection problem: given two matroids $\M_{1}=(V,\I_{1})$ and $\M_{2}=(V,\I_{2})$ defined over a common ground set , compute a s…

cs.DS2019

Faster Energy Maximization for Faster Maximum Flow

Yang P. Liu, Aaron Sidford

In this paper we provide an algorithm which given any -edge -vertex directed graph with integer capacities at most computes a maximum - flow for any vertices an…

cs.DS20193 cited

Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG

Yujia Jin, Aaron Sidford

Given a data matrix , principal component projection (PCP) and principal component regression (PCR), i.e. projection and regression restrict…

cs.DS2019

Solving Linear Programs with Sqrt(rank) Linear System Solves

Yin Tat Lee, Aaron Sidford

We present an algorithm that given a linear program with variables, constraints, and constraint matrix , computes an -approximate solution in $\tilde{O}(\sqrt{rank(A)…

cs.DS2019

Near-optimal Approximate Discrete and Continuous Submodular Function Minimization

Brian Axelrod, Yang P. Liu, Aaron Sidford

In this paper we provide improved running times and oracle complexities for approximately minimizing a submodular function. Our main result is a randomized algorithm, which given a…

cs.LG2019

Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity

Aaron Sidford, Mengdi Wang, Lin F. Yang +1

In this paper, we settle the sampling complexity of solving discounted two-player turn-based zero-sum stochastic games up to polylogarithmic factors. Given a stochastic game with d…