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Mar 22, 2024 · Michael Mahoney. I am in the Department of Statistics at UC Berkeley; I am also at the International Computer Science Institute (ICSI, where I am Vice President and Director of the Big Data Group ) and the Lawrence Berkeley National Laboratory (LBNL, where I am the Group Lead for the Machine Learning and Analytics Group ); I am also in the ...
Articles 1–20. Professor of Statistics, UC Berkeley - Cited by 33,775 - Algorithms - Statistics - Linear Algebra - Data Analysis - Machine Learning.
Oct 18, 2020 · Michael Mahoney - Dynamical systems and machine learning. Prof. Michael Mahoney from UC Berkeley speaking in the Data-driven methods for science and engineering seminar. Recorded on October...
Michael W. Mahoney. Dynamical systems that evolve continuously over time are ubiquitous throughout science and engineering. Machine learning (ML) provides data-driven approaches to model and...
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning, M. Derezinski and M. W. Mahoney, Technical Report, Preprint: arXiv:2406.11151 (2024) ( arXiv ), Accepted for publication, Proc. of the 30th Annual SIGKDD, 0000–0000 (2024) ().
Michael Mahoney. International Computer Science Institute and UC Berkeley. Much of Michael Mahoney's current research focuses on developing geometric network analysis tools, i.e., using scalable approximation algorithms with a geometric or statistical flavor to analyze the structure and dynamics of large informatics graphs; developing ...
Associate Professor, Statistics, UC Berkeley. Michael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis.
