conftrace_

low-rank optimization

24 papers

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Co-occurring keywords

semidefinite programming (147) matrix completion (356) low-rank approximation (323) matrix factorization (529) low-rank matrix (174) frank-wolfe algorithm (107) burer-monteiro factorization (5) parameter-efficient fine-tuning (736) support vector machine (978) image processing (297)

Papers

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning ACL 2025
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing AAAI 2023
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NIPS 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods AISTATS 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers NIPS 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
Entropy-Penalized Semidefinite Programming IJCAI 2019
Primal-Dual Block Generalized Frank-Wolfe NIPS 2019
Low-Rank Laplacian-Uniform Mixed Model for Robust Face Recognition CVPR 2019
Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally CVPR 2019
Smoothed analysis of the low-rank approach for smooth semidefinite programs NIPS 2018
Radiometric Calibration From Faces in Images CVPR 2017
Projection Free Rank-Drop Steps IJCAI 2017
The non-convex Burer-Monteiro approach works on smooth semidefinite programs NIPS 2016
Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning CVPR 2015
Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing ICML 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
Computational Limits for Matrix Completion COLT 2014
Finding Dense Subgraphs via Low-Rank Bilinear Optimization ICML 2014
Learning by Associating Ambiguously Labeled Images CVPR 2013