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  1. Mar 22, 2024 · I am the Director of the new UC Berkeley FODA (Foundations of Data Analysis) Institute grant, which is part of the NSF TRIPODS program, to deepen the theoretical foundations of data science in a new transdisciplinary institute. Also involved are coPIs Bin Yu, Fernando Perez, Michael Jordan, and Peter Bartlett.

  2. Articles 1–20. ‪Professor of Statistics, UC Berkeley‬ - ‪‪Cited by 34,130‬‬ - ‪Algorithms‬ - ‪Statistics‬ - ‪Linear Algebra‬ - ‪Data Analysis‬ - ‪Machine Learning‬.

  3. Michael “Mike” Mahoney is Chief Executive Officer of Boston Scientific Corporation and Chairman of the company’s Board of Directors. Boston Scientific is a global medical technology leader with approximately $11 billion in annual revenue and commercial representation in more than 120 countries.

  4. Towards Scalable and Versatile Weight Space Learning, K. Schurholt, M. W. Mahoney, and D. Borth, Technical Report, Preprint: arXiv:2406.09997 (2024) ( arXiv ), Accepted for publication, Proc. of the 2024 ICML Conference 000:00000-00000 (2024) ().

  5. Overview. The main focus of my work is on algorithmic and statistical aspects of modern large-scale data analysis. There is a focus on foundational/theoretical questions, but this theory is strongly tethered to implementational questions and a diverse range of very practical applications.

  6. 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...

  7. Department of Statistics 367 Evans Hall, University of California Berkeley, CA 94720-3860 T 510-642-2781 | F 510-642-7892 Accessibility | Nondiscrimination | Privacy

  8. ICSI Vice President. Director, Big Data. mmahoney @ icsi.berkeley.edu. Michael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis.

  9. crd.lbl.gov › divisions › scidataMichael Mahoney

    Mar 22, 2023 · Michael Mahoney leads the Machine Learning and Analytics Group in Berkeley Lab's Scientific Data (SciData) Division.

  10. 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 approximate computation and regularization methods for large informatics graphs; and ...