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Papers
Delegation-Relegation for Boolean Matrix Factorization
AAAI 2024
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis
JMLR 2024
Improved Bounds for Multi-task Learning with Trace Norm Regularization
COLT 2023
Rank Diminishing in Deep Neural Networks
NeurIPS 2022
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
ICML 2021
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations
CVPR 2020
Minimal Sample Subspace Learning: Theory and Algorithms
JMLR 2019
On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem
AAAI 2019
Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds
ICML 2015
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
NeurIPS 2013
Unfolding Latent Tree Structures using 4th Order Tensors
ICML 2013