activity
20162026
most citedImproved Algorithms for Adaptive Compressed Sensing

5 citations · 19 across the 20 of their papers we have counts for

collaborators

29 papers

cs.LG2026

Fast Quantized JohnsonLindenstrauss Transforms

Angelos Korakitis, Vasileios Nakos

Quantization has emerged as one of the primary techniques for reducing the memory footprint of large language models during inference. A prominent example is Quantized JohnsonLi…

cs.DS2026

Robustifying Sparse Matrix Multiplication

Karl Bringmann, Nick Fischer, Vasileios Nakos

In the seminal sparse matrix multiplication problem the goal is to compute the product of two matrices when the matrices are sparse, i.e., when the number of nonzeros…

cs.DB2026

Listing Even Cycles Faster than the Submodular-Width Barrier

Vasileios Nakos, Hung Q. Ngo, Andreas Panayi

A classic result of Alon, Yuster, and Zwick (AYZ, Algorithmica 1997) shows that all -cycles in an -edge graph can be listed in time, where is the…

cs.DS2025

Sparse Recovery via Weighted Hypergraph Peeling

Nick Fischer, Vasileios Nakos

We demonstrate that the best -sparse approximation of a length- vector can be recovered within a -factor approximation in time using a non-adaptive l…

cs.DB2025

Information Theory Strikes Back: New Development in the Theory of Cardinality Estimation

Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu +1

Estimating the cardinality of the output of a query is a fundamental problem in database query processing. In this article, we overview a recently published contribution that casts…

cs.DS2024

Beating Bellman's Algorithm for Subset Sum

Karl Bringmann, Nick Fischer, Vasileios Nakos

Bellman's algorithm for Subset Sum is one of the earliest and simplest examples of dynamic programming, dating back to 1957. For a given set of integers and a target , i…

cs.DB2024

Targeted Least Cardinality Candidate Key for Relational Databases

Vasileios Nakos, Hung Q. Ngo, Charalampos E. Tsourakakis

Functional dependencies (FDs) are a central theme in databases, playing a major role in the design of database schemas and the optimization of queries. In this work, we introduce t…

cs.DS2022★ 3 cited

Improved Sublinear-Time Edit Distance for Preprocessed Strings

Karl Bringmann, Alejandro Cassis, Nick Fischer +1

We study the problem of approximating the edit distance of two strings in sublinear time, in a setting where one or both string(s) are preprocessed, as initiated by Goldenberg, Rub…

cs.DS2022★ 1 cited

Almost-Optimal Sublinear-Time Edit Distance in the Low Distance Regime

Karl Bringmann, Alejandro Cassis, Nick Fischer +1

We revisit the task of computing the edit distance in sublinear time. In the -gap edit distance problem the task is to distinguish whether the edit distance of two strings i…

cs.DS2021

On the Approximability of Multistage Min-Sum Set Cover

Dimitris Fotakis, Panagiotis Kostopanagiotis, Vasileios Nakos +2

We investigate the polynomial-time approximability of the multistage version of Min-Sum Set Cover (), a natural and intriguing generalization of the classical List U…

cs.DS2021

Deterministic and Las Vegas Algorithms for Sparse Nonnegative Convolution

Karl Bringmann, Nick Fischer, Vasileios Nakos

Computing the convolution of two length- integer vectors is a core problem in several disciplines. It frequently comes up in algorithms for Knapsack, -SUM, A…

cs.DS2021★ 1 cited

Top-k-Convolution and the Quest for Near-Linear Output-Sensitive Subset Sum

Karl Bringmann, Vasileios Nakos

In the classical Subset Sum problem we are given a set and a target , and the task is to decide whether there exists a subset of which sums to . A recent line of rese…

cs.DS2021

Traversing the FFT Computation Tree for Dimension-Independent Sparse Fourier Transforms

Karl Bringmann, Michael Kapralov, Mikhail Makarov +3

We consider the well-studied Sparse Fourier transform problem, where one aims to quickly recover an approximately Fourier -sparse vector from…

cs.DS2021

Sparse Nonnegative Convolution Is Equivalent to Dense Nonnegative Convolution

Karl Bringmann, Nick Fischer, Vasileios Nakos

Computing the convolution of two length- vectors is an ubiquitous computational primitive. Applications range from string problems to Knapsack-type problems, an…

cs.DS2021

Fast -fold Boolean Convolution via Additive Combinatorics

Karl Bringmann, Vasileios Nakos

We consider the problem of computing the Boolean convolution (with wraparound) of ~vectors of dimension , or, equivalently, the problem of computing the sumset $A_1+A_2+\ldot…

cs.DS2020★ 1 cited

Fast and Simple Modular Subset Sum

Kyriakos Axiotis, Arturs Backurs, Karl Bringmann +4

We revisit the Subset Sum problem over the finite cyclic group for some given integer . A series of recent works has provided near-optimal algorithms for this pro…

cs.IT2020

Combinatorial Group Testing and Sparse Recovery Schemes with Near-Optimal Decoding Time

Mahdi Cheraghchi, Vasileios Nakos

In the long-studied problem of combinatorial group testing, one is asked to detect a set of defective items out of a population of size , using disjunctive measure…

cs.DS2019★ 2 cited

(Nearly) Sample-Optimal Sparse Fourier Transform in Any Dimension; RIPless and Filterless

Vasileios Nakos, Zhao Song, Zhengyu Wang

In this paper, we consider the extensively studied problem of computing a -sparse approximation to the -dimensional Fourier transform of a length signal. Our algorithm us…

cs.DS2019★ 4 cited

Stronger L2/L2 Compressed Sensing; Without Iterating

Vasileios Nakos, Zhao Song

We consider the extensively studied problem of compressed sensing. The main contribution of our work is an improvement over [Gilbert, Li, Porat and Strauss, STOC 20…

cs.DS2019

Deterministic Sparse Fourier Transform with an ell_infty Guarantee

Yi Li, Vasileios Nakos

In this paper we revisit the deterministic version of the Sparse Fourier Transform problem, which asks to read only a few entries of and design a recovery algo…

cs.SC2019

Nearly Optimal Sparse Polynomial Multiplication

Vasileios Nakos

In the sparse polynomial multiplication problem, one is asked to multiply two sparse polynomials f and g in time that is proportional to the size of the input plus the size of the…

cs.DS2018★ 5 cited

Improved Algorithms for Adaptive Compressed Sensing

Vasileios Nakos, Xiaofei Shi, David P. Woodruff +1

In the problem of adaptive compressed sensing, one wants to estimate an approximately -sparse vector from linear measurements …

cs.DS2017

Deterministic Heavy Hitters with Sublinear Query Time

Yi Li, Vasileios Nakos

This paper studies the classic problem of finding heavy hitters in the turnstile streaming model. We give the first deterministic linear sketch that has $O(ε^{-2} \log n \cdot \log…

cs.IT2017

One-Bit ExpanderSketch for One-Bit Compressed Sensing

Vasileios Nakos

Is it possible to obliviously construct a set of hyperplanes H such that you can approximate a unit vector x when you are given the side on which the vector lies with respect to ev…