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Found 5 papers, 2 papers with code
Multi-Tubal Rank of Third Order Tensor and Related Low Rank Tensor Completion Problem
For this model, a tensor factorization based method is applied and the corresponding convergence anlysis is established.
Optimization and Control
Eigenvalue-corrected Natural Gradient Based on a New Approximation
Using second-order optimization methods for training deep neural networks (DNNs) has attracted many researchers.
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient
There have been many attempts to use second-order optimization methods for training deep neural networks.
Formulating an $n$-person noncooperative game as a tensor complementarity problem
In this paper, we consider a class of $n$-person noncooperative games, where the utility function of every player is given by a homogeneous polynomial defined by the payoff tensor of that player, which is a natural extension of the bimatrix game where the utility function of every player is given by a quadratic form defined by the payoff matrix of that player.
Optimization and Control
Minimum $n$-Rank Approximation via Iterative Hard Thresholding
Additionally, combining an effective heuristic for determining $n$-rank, we can also apply the proposed algorithm to solve MnRA when $n$-rank is unknown in advance.
