276 citations · 280 across the 3 of their papers we have counts for
6 papers
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions
Masoud Badiei Khuzani, Yinyu Ye, Sandy Napel +1
We develop and analyze a projected particle Langevin optimization method to learn the distribution in the Schönberg integral representation of the radial basis functions from train…
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan +5
In recent years, significant progress has been made in developing more accurate and efficient machine learning algorithms for segmentation of medical and natural images. In this re…
A Mean-Field Theory for Kernel Alignment with Random Features in Generative and Discriminative Models
Masoud Badiei Khuzani, Liyue Shen, Shahin Shahrampour +1
We propose a novel supervised learning method to optimize the kernel in the maximum mean discrepancy generative adversarial networks (MMD GANs), and the kernel support vector machi…
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes
Masoud Badiei Khuzani, Varun Vasudevan, Hongyi Ren +1
We study the problem of learning policy of an infinite-horizon, discounted cost, Markov decision process (MDP) with a large number of states. We compute the actions of a policy tha…
A Distributionally Robust Optimization Method for Adversarial Multiple Kernel Learning
Masoud Badiei Khuzani, Hongyi Ren, Md Tauhidul Islam +1
We propose a novel data-driven method to learn a mixture of multiple kernels with random features that is certifiabaly robust against adverserial inputs. Specifically, we consider…
Stochastic Primal-Dual Method on Riemannian Manifolds with Bounded Sectional Curvature
Masoud Badiei Khuzani, Na Li
We study a stochastic primal-dual method for constrained optimization over Riemannian manifolds with bounded sectional curvature. We prove non-asymptotic convergence to the optimal…