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 2023Show all

6 papers · 1 filter

cs.DS20233 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.DS20231 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

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…

cs.DS2023

Near-Optimal Dynamic Rounding of Fractional Matchings in Bipartite Graphs

Sayan Bhattacharya, Peter Kiss, Aaron Sidford +1

We study dynamic -approximate rounding of fractional matchings -- a key ingredient in numerous breakthroughs in the dynamic graph algorithms literature. Our first contributi…