Yi Ren

According to our database, Yi Ren authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

ASGO: Adaptive Structured Gradient Optimization.

Kang An, Yuxing Liu, Rui Pan, Yi Ren, Shiqian Ma, Donald Goldfarb, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2023

A Mini-Block Fisher Method for Deep Neural Networks.

Achraf Bahamou, Donald Goldfarb, Yi Ren

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Using Second-Order Information in Training Deep Neural Networks

Yi Ren

PhD thesis, 2022

A Mini-Block Natural Gradient Method for Deep Neural Networks.

Achraf Bahamou, Donald Goldfarb, Yi Ren

CoRR, 2022

2021

Kronecker-factored Quasi-Newton Methods for Convolutional Neural Networks.

Yi Ren, Donald Goldfarb

CoRR, 2021

Tensor Normal Training for Deep Learning Models.

Yi Ren, Donald Goldfarb

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Practical Quasi-Newton Methods for Training Deep Neural Networks.

Donald Goldfarb, Yi Ren, Achraf Bahamou

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Efficient Subsampled Gauss-Newton and Natural Gradient Methods for Training Neural Networks.

Yi Ren, Donald Goldfarb

CoRR, 2019