Co-occurring keywords · papers mentioning both
Papers
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers
NeurIPS 2021
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
ICLR 2021
A Unified Optimization Framework for Low-Rank Inducing Penalties
CVPR 2020
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
CVPR 2020
Collective Matrix Completion
JMLR 2019
Decentralized sketching of low rank matrices
NeurIPS 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering
CVPR 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NeurIPS 2019
Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms
CVPR 2019
Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption
NeurIPS 2019
Non-Convex Matrix Completion and Related Problems via Strong Duality
JMLR 2019
On Dropout and Nuclear Norm Regularization
ICML 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion
JMLR 2019
Sum-of-squares meets square loss: Fast rates for agnostic tensor completion
COLT 2019
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
AAAI 2019
Dropout as a Low-Rank Regularizer for Matrix Factorization
AISTATS 2018
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
NeurIPS 2018
Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
CVPR 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization
NeurIPS 2018
A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
CVPR 2017
Implicit Regularization in Matrix Factorization
NeurIPS 2017
Principal Variety Analysis
CoRL 2017
Projection Free Rank-Drop Steps
IJCAI 2017
SVD-free Convex-Concave Approaches for Nuclear Norm Regularization
IJCAI 2017
Iterative Hessian Sketch: Fast and Accurate Solution Approximation for Constrained Least-Squares
JMLR 2016