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06/23/2020
A Mean-Field Theory for Learning the Schönberg Measure of Radial Basis Functions
We develop and analyze a projected particle Langevin optimization method...
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11/06/2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
In recent years, significant progress has been made in developing more a...
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09/25/2019
A Mean-Field Theory for Kernel Alignment with Random Features in Generative Adversarial Networks
We propose a novel supervised learning method to optimize the kernel in ...
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03/15/2019
On Sample Complexity of Projection-Free Primal-Dual Methods for Learning Mixture Policies in Markov Decision Processes
We study the problem of learning policy of an infinite-horizon, discount...
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02/27/2019