Fast and Structured Block-Term Tensor Decomposition For Hyperspectral
UnmixingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022 |
Local Linear Convergence of Gradient Methods for Subspace Optimization
via Strict ComplementarityNeural Information Processing Systems (NeurIPS), 2022 |
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization ProblemsNeural Information Processing Systems (NeurIPS), 2022 |
On the Efficient Implementation of the Matrix Exponentiated Gradient
Algorithm for Low-Rank Matrix OptimizationMathematics of Operations Research (MOR), 2020 |
On the Convergence of Stochastic Gradient Descent with Low-Rank
Projections for Convex Low-Rank Matrix ProblemsAnnual Conference Computational Learning Theory (COLT), 2020 |
Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without
Strong ConvexityMathematical programming (Math. Program.), 2019 |