Goldfarb, Donald

12 publications

NeurIPS 2025 ASGO: Adaptive Structured Gradient Optimization Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang

AISTATS 2023 A Mini-Block Fisher Method for Deep Neural Networks Achraf Bahamou, Donald Goldfarb, Yi Ren

AAAI 2021 Increasing Iterate Averaging for Solving Saddle-Point Problems Yuan Gao, Christian Kroer, Donald Goldfarb

NeurIPS 2021 Tensor Normal Training for Deep Learning Models Yi Ren, Donald Goldfarb

NeurIPS 2020 Practical Quasi-Newton Methods for Training Deep Neural Networks Donald Goldfarb, Yi Ren, Achraf Bahamou

NeurIPS 2019 Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models Yunfei Teng, Wenbo Gao, François Chalus, Anna E Choromanska, Donald Goldfarb, Adrian Weller

AISTATS 2017 Linear Convergence of Stochastic Frank Wolfe Variants Donald Goldfarb, Garud Iyengar, Chaoxu Zhou

ICML 2017 Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values Chaoxu Zhou, Wenbo Gao, Donald Goldfarb

ICML 2016 Stochastic Block BFGS: Squeezing More Curvature Out of Data Robert Gower, Donald Goldfarb, Peter Richtarik

ICML 2014 Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery Cun Mu, Bo Huang, John Wright, Donald Goldfarb

JMLR 2012 Structured Sparsity via Alternating Direction Methods Zhiwei Qin, Donald Goldfarb

NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods Katya Scheinberg, Shiqian Ma, Donald Goldfarb