Donald Goldfarb is affiliated with Columbia University in the United States. Their research primarily focuses on computer science, with specific contributions to artificial intelligence, computational mechanics, computational theory and mathematics, computer vision and pattern recognition, and management science and operations research.
The scientist's research covers several prominent topics including stochastic gradient optimization techniques, sparse and compressive sensing techniques, matrix theory and algorithms, neural networks and applications, machine learning and extreme learning machines (ELM), advanced bandit algorithms research, and advanced numerical analysis techniques.
Frequent coauthors collaborating with Donald Goldfarb include Achraf Bahamou, Yi Ren, Yuan Gao, and Christian Kroer.
Publication venues where Goldfarb's work is frequently featured include:
Recent papers authored or coauthored by Donald Goldfarb include:
Donald Goldfarb has received the Khachiyan Prize of the INFORMS Optimization Society in 2013. Additionally, they were named a SIAM Fellow in 2012 for contributions to nonlinear, discrete, and convex optimization.
Donald Goldfarb
Stanley J. Osher;Martin Burger;Donald Goldfarb;Jinjun Xu
Farid Alizadeh;Donald Goldfarb
Wotao Yin;Stanley Osher;Donald Goldfarb;Jerome Darbon
D. Goldfarb;A. Idnani
Shiqian Ma;Donald Goldfarb;Lifeng Chen
D. Goldfarb;G. Iyengar
Robert G. Bland;Donald Goldfarb;Michael J. Todd
Zaiwen Wen;Donald Goldfarb;Wotao Yin
Robert G. Bland;Donald Goldfarb;Michael J. Todd
Donald Goldfarb;Zhiwei (Tony) Qin
Donald Goldfarb;Shiqian Ma;Katya Scheinberg
John J. Forrest;Donald Goldfarb
Cun Mu;Bo Huang;John Wright;Donald Goldfarb
Donald Goldfarb
Donald Goldfarb;John K. Reid
Zaiwen Wen;Wotao Yin;Donald Goldfarb;Yin Zhang
Donald Goldfarb;Wotao Yin
Zhiwei Qin;Katya Scheinberg;Donald Goldfarb
Donald Goldfarb;Michael J. Todd
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