Co-occurring keywords · papers mentioning both
Papers
Quantum Algorithms for Spectral Sums
AAAI 2026
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models
NeurIPS 2023
Implicit Bias of Linear Equivariant Networks
ICML 2022
Optimal Query Complexities for Dynamic Trace Estimation
NeurIPS 2022
Input-Sparsity Low Rank Approximation in Schatten Norm
ICML 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
NeurIPS 2020
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
ICML 2020
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
NeurIPS 2019
Spectrum Estimation from a Few Entries
JMLR 2019
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
ICML 2018
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
NeurIPS 2017
Matrix Norm Estimation from a Few Entries
NeurIPS 2017
Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion
NeurIPS 2014
Convex Tensor Decomposition via Structured Schatten Norm Regularization
NeurIPS 2013
On Spectral Learning
JMLR 2010