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Algorithms

Archimedes Talks Series: Title: Near-Optimal Robust Sparse Matrix Multiplications By Vasileios Nakos

Dates
2024-04-11 13:00 - 14:00
Venue
Artemidos 1 - Amphitheater

 

Continuing our Archimedes Talks Series, on this Thursday at 13:00, Assistant Professor Nakos will be providing a speech on Near-Optimal Robust Sparse Matrix Multiplications, you are welcome to attend or to watch remotely through the teams link provided below.

 

Title: Near-Optimal Robust Sparse Matrix Multiplications

 

Abstract: We consider the robust version of the ubiquitous sparse matrix multiplication problem: given two matrices A,B with a and b non-zeros respectively, find the top k elements of their product AB. Recent work [Abboud, Bringmann, Fischer, Kunneman SODA 2024] has suggested a conditionally near-optimal algorithm when AB has at most k non-zero entries. However, as is usually the case, the product AB may not be sparse so we resort to the approximately finding the top k entries of AB. We will discuss a conditionally near-optimal algorithm for the problem which is even faster than the aforementioned algorithm of Abboud et.al.

 

Short Bio

 

Vasileios Nakos

Vasileios Nakos is an Assistant Professor at the Department of Informatics and Telecommunications National and Kapodistrian University of Athens. He previously has been a research scientist in the optimizer group of RelationalAI, as well as a postdoc in Max Planck Institute of Informatics and Saarland University. He received his Ph.D. from Harvard University and his undergraduate degree from National Technical University of Athens. Most of his work has concentrated on the field of linear sketching/ dimensionality reduction and the interdisciplinary field of sparse recovery, with focus on speeding up Machine Learning tasks, Optimization algorithms and Signal Processing routines.

 

Affiliation: National and Kapodistrian University of Athens- Archimedes Unit/Athena Research Center.

 

 

 

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To position Greece as a leading player in AI and Data Science

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To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

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The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

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