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I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining

• Authors : Zhang, Haochen; Yin, Junze; Wang, Guanchu

Subjects: Computer Science - Machine Learning

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Computing Bouligand stationary points efficiently in low-rank optimization

• Authors : Olikier, Guillaume; Absil, P. -A.

Subjects: Mathematics - Optimization and Control; Mathematics - Numerical Analysis; 14M12, 65K10, 90C26, 90C30, 40A05

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Exterior-point optimization for sparse and low-rank optimization

• Authors : Gupta, S.D. (Shuvomoy Das); Stellato, B. (Bartolomeo); Parys, BPG (Bart) van

Subjects: Nonconvex optimization; Sparse optimization; Low-rank optimization

• Source: Journal of Optimization Theory and Applications vol. 202, pp. 795-833

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Low-rank optimization on Tucker tensor varieties

• Authors : Gao, Bin; Peng, Renfeng; Yuan, Ya-xiang

Subjects: Mathematics - Optimization and Control; Mathematics - Numerical Analysis; 15A69, 65K05, 65F30, 90C30

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A normal fan projection algorithm for low-rank optimization.

• Authors : Scott, James R.^1,2 (AUTHOR) ; Geunes, Joseph¹ (AUTHOR)

• Source: Mathematical Programming. Jan2025, Vol. 209 Issue 1, p681-702. 22p.

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Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training

• Authors : Ou, Xinwei; Chen, Zhangxin; Zhu, Ce

Subjects: Computer Science - Machine Learning

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Large-scale Global Low-rank Optimization for Computational Compressed Imaging

• Authors : Li, Daoyu; Xu, Hanwen; Cao, Miao

Subjects: Electrical Engineering and Systems Science - Image and Video Processing; Computer Science - Computer Vision and Pattern Recognition; Physics - Optics

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Low-Rank Optimization for Efficient Compression of CNN Models

• Authors : Hao Liu; Zheng Jiang; Bin Liu

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Exterior-Point Optimization for Sparse and Low-Rank Optimization

• Authors : Shuvomoy Das Gupta; Bartolomeo Stellato; Bart P. G. Van Parys

Subjects: Optimization and Control (math.OC); 0211 other engineering and technologies; FOS: Mathematics

• Source: Journal of Optimization Theory and Applications. 202:795-833

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An apocalypse-free first-order low-rank optimization algorithm with at most one rank reduction attempt per iteration

• Authors : Olikier, Guillaume; Absil, P. -A.

Subjects: Mathematics - Optimization and Control; Mathematics - Numerical Analysis; 14M12, 65K10, 90C26, 90C30, 40A05

• Source: SIAM Journal on Matrix Analysis and Applications, Vol. 44, Iss. 3 (2023)

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