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- Mahoney made immeasurable contributions to the field of psychology as an influential researcher, a prolific writer, and an innovative pioneer in bringing constructivist philosophy into psychotherapy.
2020. Articles 1–20. Professor of Statistics, UC Berkeley - Cited by 35,869 - Algorithms - Statistics - Linear Algebra - Data Analysis - Machine Learning.
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 ...
Mar 29, 2022 · Michael Mahoney is the new group leader for Machine Learning and Analytics. When the term “big data” was first coined in the late 1990s, the world produced about 1.5 quintillion bytes of data per year.
Michael W. Mahoney The recently-introduced class of ordinary differential equation networks (ODE-Nets) establishes a fruitful connection between deep learning and dynamical systems.
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.
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) ().
Associate Professor, Statistics, UC Berkeley. Michael Mahoney works on algorithmic and statistical aspects of modern large-scale data analysis. Much of his recent research has focused on large-scale machine learning including randomized matrix algorithms and randomized numerical linear algebra; geometric network analysis tools for structure ...
