Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley
Transform

Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform

4 February 2020

Jun Li

Papers citing "Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform"

17 / 17 papers shown

Title
Riemannian Optimization on Relaxed Indicator Matrix Manifold Jinghui Yuan Fangyuan Xie Feiping Nie Xuelong Li 75 0 0 26 Mar 2025
SpinQuant: LLM quantization with learned rotations Zechun Liu Changsheng Zhao Igor Fedorov Bilge Soran Dhruv Choudhary Raghuraman Krishnamoorthi Vikas Chandra Yuandong Tian Tijmen Blankevoort MQ 137 84 0 21 Feb 2025
NestQuant: Nested Lattice Quantization for Matrix Products and LLMs Semyon Savkin Eitan Porat Or Ordentlich Yury Polyanskiy MQ 33 0 0 13 Feb 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training Wu Lin Felix Dangel Runa Eschenhagen Juhan Bae Richard E. Turner Roger B. Grosse 47 0 0 10 Feb 2025
OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting Xing Hu Yuan Cheng Dawei Yang Zukang Xu Zhihang Yuan Jiangyong Yu Chen Xu Zhe Jiang Sifan Zhou MQ 39 5 0 23 Jan 2025
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
A survey of manifold learning and its applications for multimedia Hannes Fassold 39 1 0 08 Sep 2023
Robust low-rank training via approximate orthonormal constraints Dayana Savostianova Emanuele Zangrando Gianluca Ceruti Francesco Tudisco 24 9 0 02 Jun 2023
Duality in Multi-View Restricted Kernel Machines Sonny Achten Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens 19 2 0 26 May 2023
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification Sonny Achten F. Tonin Panagiotis Patrinos Johan A. K. Suykens 42 4 0 31 Jan 2023
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 41 1 0 12 Oct 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu D. Chang 28 6 0 12 May 2022
projUNN: efficient method for training deep networks with unitary matrices B. Kiani Randall Balestriero Yann LeCun S. Lloyd 41 32 0 10 Mar 2022
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 16 20 0 12 Aug 2021
Continual Learning in Low-rank Orthogonal Subspaces Arslan Chaudhry Naeemullah Khan P. Dokania Philip H. S. Torr CLL 33 113 0 22 Oct 2020
Riemannian stochastic recursive momentum method for non-convex optimization Andi Han Junbin Gao ODL 22 16 0 11 Aug 2020
Deep Isometric Learning for Visual Recognition Haozhi Qi Chong You Xinyu Wang Yi Ma Jitendra Malik VLM 30 53 0 30 Jun 2020