low-rank optimization

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