activity
20132025
most citedParallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification

87 citations · 862 across the 74 of their papers we have counts for

collaborators

90 papers

cs.DS2025

Improved girth approximation in weighted undirected graphs

Avi Kadria, Liam Roditty, Aaron Sidford +2

Let be a -node -edge weighted undirected graph, where is a real \emph{length} function defined on its edges, and let den…

cs.DS2023★ 3 cited

A Deterministic Almost-Linear Time Algorithm for Minimum-Cost Flow

Jan van den Brand, Li Chen, Rasmus Kyng +5

We give a deterministic time algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with edges and polynomially bounded integral dem…

cs.DS2023★ 1 cited

Parallel Submodular Function Minimization

Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang +1

We consider the parallel complexity of submodular function minimization (SFM). We provide a pair of methods which obtain two new query versus depth trade-offs a submodular function…

cs.DS2023

Sparse Submodular Function Minimization

Andrei Graur, Haotian Jiang, Aaron Sidford

In this paper we study the problem of minimizing a submodular function that is guaranteed to have a -sparse minimizer. We give a deterministic a…

quant-ph2023★ 1 cited

Quantum speedups for stochastic optimization

Aaron Sidford, Chenyi Zhang

We consider the problem of minimizing a continuous function given quantum access to a stochastic gradient oracle. We provide two new methods for the special case of minimizing a Li…

cs.DS2023

Towards Optimal Effective Resistance Estimation

Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford

We provide new algorithms and conditional hardness for the problem of estimating effective resistances in -node -edge undirected, expander graphs. We provide an $\widetilde{O…