6 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ML2017★ 1 cited
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.…
stat.ML2015★ 6 cited
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…