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Picture for Joong-Ho Won

Principled learning method for Wasserstein distributionally robust optimization with local perturbations


Jun 22, 2020
Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik

* Accepted for ICML 2020 

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Principled Learning Method for Wasserstein Distributionally Robust Optimization with Local Perturbations


Jun 05, 2020
Yongchan Kwon, Wonyoung Kim, Joong-Ho Won, Myunghee Cho Paik

* Accepted for ICML 2020 

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Easily parallelizable and distributable class of algorithms for structured sparsity, with optimal acceleration


Jun 19, 2018
Seyoon Ko, Donghyeon Yu, Joong-Ho Won

* 57 pages (30 pages excluding appendix), 4 figures (2 excluding appendix) 

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