no code implementations • 27 Feb 2019 • Masoud Badiei Khuzani, Hongyi Ren, Md Tauhidul Islam, Lei Xing
Specifically, we consider a distributionally robust optimization of the kernel-target alignment with respect to the distribution of training samples over a distributional ball defined by the Kullback-Leibler (KL) divergence.
no code implementations • 15 Mar 2019 • Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren, Lei Xing
We compute the actions of a policy that is nearly as good as a policy chosen by a suitable oracle from a given mixture policy class characterized by the convex hull of a set of known base policies.
no code implementations • 25 Sep 2019 • Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
We subsequently leverage a particle stochastic gradient descent (SGD) method to solve the derived finite dimensional optimization problem.
no code implementations • 6 Nov 2019 • Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing
In recent years, significant progress has been made in developing more accurate and efficient machine learning algorithms for segmentation of medical and natural images.
no code implementations • 23 Jun 2020 • Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel, Lei Xing
In particular, we prove that in the scaling limits, the empirical measure of the Langevin particles converges to the law of a reflected It\^{o} diffusion-drift process.
no code implementations • 25 Sep 2019 • Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour, Lei Xing
We subsequently leverage a particle stochastic gradient descent (SGD) method to solve finite dimensional optimization problems.