6 citations · 17 across the 8 of their papers we have counts for
3 papers · 1 filter
Accurate and fast matrix factorization for low-rank learning
Reza Godaz, Reza Monsefi, Faezeh Toutounian +1
In this paper, we tackle two important problems in low-rank learning, which are partial singular value decomposition and numerical rank estimation of huge matrices. By using the co…
Exploiting generalization in the subspaces for faster model-based learning
Maryam Hashemzadeh, Reshad Hosseini, Majid Nili Ahmadabadi
Due to the lack of enough generalization in the state-space, common methods in Reinforcement Learning (RL) suffer from slow learning speed especially in the early learning trials.…
Manifold Optimization for Gaussian Mixture Models
Reshad Hosseini, Suvrit Sra
We take a new look at parameter estimation for Gaussian Mixture Models (GMMs). In particular, we propose using \emph{Riemannian manifold optimization} as a powerful counterpart to…