Donald Goldfarb

Donald Goldfarb

Columbia University in the City of New York

H-index: 58

North America-United States

About Donald Goldfarb

Donald Goldfarb, With an exceptional h-index of 58 and a recent h-index of 31 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Optimization algorithms..

His recent articles reflect a diverse array of research interests and contributions to the field:

Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning

A mini-block Fisher method for deep neural networks

Tensor normal training for deep learning models

Increasing iterate averaging for solving saddle-point problems

Kronecker-factored Quasi-Newton Methods for Deep Learning

ADMM for multiaffine constrained optimization

Practical quasi-newton methods for training deep neural networks

Donald Goldfarb Information

University

Position

___

Citations(all)

24485

Citations(since 2020)

7029

Cited By

20446

hIndex(all)

58

hIndex(since 2020)

31

i10Index(all)

121

i10Index(since 2020)

71

Email

University Profile Page

Columbia University in the City of New York

Google Scholar

View Google Scholar Profile

Donald Goldfarb Skills & Research Interests

Optimization algorithms.

Top articles of Donald Goldfarb

Title

Journal

Author(s)

Publication Date

Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning

arXiv preprint arXiv:2305.13664

Achraf Bahamou

Donald Goldfarb

2023/5/23

A mini-block Fisher method for deep neural networks

arXiv preprint arXiv:2202.04124

Achraf Bahamou

Donald Goldfarb

Yi Ren

2022/2/8

Tensor normal training for deep learning models

Advances in Neural Information Processing Systems

Yi Ren

Donald Goldfarb

2021/12/6

Increasing iterate averaging for solving saddle-point problems

AAAI 2021

Yuan Gao

Christian Kroer

Donald Goldfarb

2019/3/26

Kronecker-factored Quasi-Newton Methods for Deep Learning

arXiv preprint arXiv:2102.06737

Yi Ren

Achraf Bahamou

Donald Goldfarb

2021/2/12

ADMM for multiaffine constrained optimization

Optimization Methods and Software

Wenbo Gao

Donald Goldfarb

Frank E Curtis

2020/3/3

Practical quasi-newton methods for training deep neural networks

Advances in Neural Information Processing Systems

Donald Goldfarb

Yi Ren

Achraf Bahamou

2020

See List of Professors in Donald Goldfarb University(Columbia University in the City of New York)

Co-Authors

H-index: 80
Wotao Yin

Wotao Yin

University of California, Los Angeles

H-index: 68
James B. Orlin

James B. Orlin

Massachusetts Institute of Technology

H-index: 62
Martin Burger

Martin Burger

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 53
Michael Todd

Michael Todd

Cornell University

H-index: 39
Shiqian Ma

Shiqian Ma

University of California, Davis

H-index: 34
Jonathan Eckstein

Jonathan Eckstein

Rutgers, The State University of New Jersey

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