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🔍 ayush sachdeva 📂 Computer Science 📄 Preprint
Showing 22 results for "ayush sachdeva" in Computer Science · Preprint
Computer Science Preprint PDF DOI

From Incremental Transitive Cover to Strongly Polynomial Maximum Flow

Daniel Dadush, James B. Orlin, Aaron Sidford, Laszlo A. Vegh · 2025

We provide faster strongly polynomial time algorithms solving maximum flow in structured $n$-node $m$-arc networks. Our results imply an $n^{\omega + o(1)}$-time strongly polynomial time algorithms fo…

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Computer Science Preprint PDF DOI

Improved $\ell_{p}$ Regression via Iteratively Reweighted Least Squares

Alina Ene, Ta Duy Nguyen, Adrian Vladu · 2025

We introduce fast algorithms for solving $\ell_{p}$ regression problems using the iteratively reweighted least squares (IRLS) method. Our approach achieves state-of-the-art iteration complexity, outpe…

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Computer Science Preprint PDF DOI

Improved Algorithms for Effective Resistance Computation on Graphs

Yichun Yang, Rong-Hua Li, Meihao Liao, Guoren Wang · 2025

Effective Resistance (ER) is a fundamental tool in various graph learning tasks. In this paper, we address the problem of efficiently approximating ER on a graph $\mathcal{G}=(\mathcal{V},\mathcal{E})…

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Computer Science Preprint PDF DOI

Parallel Minimum Cost Flow in Near-Linear Work and Square Root Depth for Dense Instances

Jan van den Brand, Hossein Gholizadeh, Yonggang Jiang, Tijn de Vos · 2025

For $n$-vertex $m$-edge graphs with integer polynomially-bounded costs and capacities, we provide a randomized parallel algorithm for the minimum cost flow problem with $\tilde O(m+n^ {1.5})$ work and…

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Computer Science Preprint PDF DOI

Eulerian Graph Sparsification by Effective Resistance Decomposition

Arun Jambulapati, Sushant Sachdeva, Aaron Sidford, Kevin Tian, Yibin Zhao · 2024

We provide an algorithm that, given an $n$-vertex $m$-edge Eulerian graph with polynomially bounded weights, computes an $\breve{O}(n\log^{2} n \cdot \varepsilon^{-2})$-edge $\varepsilon$-approximate …

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Computer Science Preprint PDF DOI

Near-Optimal Algorithm for Directed Expander Decompositions

Aurelio L. Sulser, Maximilian Probst Gutenberg · 2024

In this work, we present the first algorithm to compute expander decompositions in an m-edge directed graph with near-optimal time \~O(m). Further, our algorithm can maintain such a decomposition in a…

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Computer Science Preprint PDF DOI

Better Sparsifiers for Directed Eulerian Graphs

Sushant Sachdeva, Anvith Thudi, Yibin Zhao · 2023

Spectral sparsification for directed Eulerian graphs is a key component in the design of fast algorithms for solving directed Laplacian linear systems. Directed Laplacian linear system solvers are cru…

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Computer Science Preprint PDF DOI

Incremental Approximate Maximum Flow on Undirected Graphs in Subpolynomial Update Time

Jan van den Brand, Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford · 2023

We provide an algorithm which, with high probability, maintains a $(1-\epsilon)$-approximate maximum flow on an undirected graph undergoing $m$-edge additions in amortized $m^{o(1)} \epsilon^{-3}$ tim…

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Computer Science Preprint PDF DOI

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

Jan van den Brand, Li Chen, Rasmus Kyng, Yang P. Liu, Richard Peng, Maximilian Probst Gutenberg, Sushant Sachdeva, Aaron Sidford · 2023

We give a deterministic $m^{1+o(1)}$ time algorithm that computes exact maximum flows and minimum-cost flows on directed graphs with $m$ edges and polynomially bounded integral demands, costs, and cap…

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Computer Science Preprint PDF DOI

Towards Optimal Effective Resistance Estimation

Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford · 2023

We provide new algorithms and conditional hardness for the problem of estimating effective resistances in $n$-node $m$-edge undirected, expander graphs. We provide an $\widetilde{O}(m\epsilon^{-1})$-t…

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Computer Science Preprint PDF DOI

A Simple and Efficient Parallel Laplacian Solver

Sushant Sachdeva, Yibin Zhao · 2023

A symmetric matrix is called a Laplacian if it has nonpositive off-diagonal entries and zero row sums. Since the seminal work of Spielman and Teng (2004) on solving Laplacian linear systems in nearly …

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Computer Science Preprint PDF DOI

Dynamic Maxflow via Dynamic Interior Point Methods

Jan van den Brand, Yang P. Liu, Aaron Sidford · 2022

In this paper we provide an algorithm for maintaining a $(1-\epsilon)$-approximate maximum flow in a dynamic, capacitated graph undergoing edge additions. Over a sequence of $m$-additions to an $n$-no…

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Computer Science Preprint PDF DOI

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

Sally Dong, Yu Gao, Gramoz Goranci, Yin Tat Lee, Richard Peng, Sushant Sachdeva, Guanghao Ye · 2022

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 for this problem is ba…

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Computer Science Preprint PDF DOI

Sparsified Block Elimination for Directed Laplacians

Richard Peng, Zhuoqing Song · 2021

We show that the sparsified block elimination algorithm for solving undirected Laplacian linear systems from [Kyng-Lee-Peng-Sachdeva-Spielman STOC'16] directly works for directed Laplacians. Given acc…

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Computer Science Preprint PDF DOI

Improved Iteration Complexities for Overconstrained $p$-Norm Regression

Arun Jambulapati, Yang P. Liu, Aaron Sidford · 2021

In this paper we obtain improved iteration complexities for solving $\ell_p$ regression. We provide methods which given any full-rank $\mathbf{A} \in \mathbb{R}^{n \times d}$ with $n \geq d$, $b \in \…

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Computer Science Preprint PDF DOI

A Tale of Two Referees

Hannes Leeb · 2020

Success in academia hinges on publishing in top tier journals. This requires innovative results. And this requires clear and convincing presentation of said results. Presentation can make the differen…

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Computer Science Preprint PDF DOI

Attacking Recommender Systems with Augmented User Profiles

Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang · 2020

Recommendation Systems (RS) have become an essential part of many online services. Due to its pivotal role in guiding customers towards purchasing, there is a natural motivation for unscrupulous parti…

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Computer Science Preprint PDF DOI

Faster Divergence Maximization for Faster Maximum Flow

Yang P. Liu, Aaron Sidford · 2020

In this paper we provide an algorithm which given any $m$-edge $n$-vertex directed graph with integer capacities at most $U$ computes a maximum $s$-$t$ flow for any vertices $s$ and $t$ in $m^{4/3+o(1…

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Computer Science Preprint PDF DOI

Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs

Kyriakos Axiotis, Aleksander Madry, Adrian Vladu · 2020

We present an $m^{4/3+o(1)}\log W$-time algorithm for solving the minimum cost flow problem in graphs with unit capacity, where $W$ is the maximum absolute value of any edge weight. For sparse graphs,…

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Computer Science Preprint PDF DOI

Faster Energy Maximization for Faster Maximum Flow

Yang P. Liu, Aaron Sidford · 2019

In this paper we provide an algorithm which given any $m$-edge $n$-vertex directed graph with integer capacities at most $U$ computes a maximum $s$-$t$ flow for any vertices $s$ and $t$ in $m^{11/8+o(…

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