Jui Hsieh and Training - Free people check

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Cho-Jui Hsieh | UCLA Samueli School Of Engineering

samueli.ucla.edu

Cho-Jui Hsieh. RESEARCH AND INTERESTS. I am interested in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, I am working on developing new machine learning models as well as improving the model size, training speed, prediction speed, and robustness of popular (deep learning) models.

Cho-Jui Hsieh - BD2K Training Coordinating Center

bigdatau.ini.usc.edu

The NIH's Big Data to Knowledge (BD2K) Training Coordinating Center (TCC)is a multifaceted program with projects including a personalized online ...

Yin-Wen Chang

people.csail.mit.edu

Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, and Chih-Jen Lin. Training and Testing Low-degree Polynomial Data Mappings via Linear ...

CiteSeerX — Training and Testing Low-degree Polynomial Data Mappings...

citeseerx.ist.psu.edu

author = {Yin-wen Chang and Cho-jui Hsieh and Kai-wei Chang and Michael Ringgaard and Chih-jen Lin}, title = { Training and Testing Low-degree Polynomial ...

Wikipedia: Radial basis function kernel - Wikipedia

Jump up ^ Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard and Chih-Jen Lin (2010). "Training and testing low-degree polynomial data ...

All web results to the name "Jui Hsieh"

"From Adversarial Training to Generative Adversarial ...

davidstutz.de

Xuanqing Liu, Cho-Jui Hsieh. From Adversarial Training to Generative Adversarial Networks. openreview.net/forum?id=ryxtE3C5Fm.

Rob-GAN: Generator, Discriminator, and Papers With Code

paperswithcode.com

CVPR • Xuanqing Liu • Cho-Jui Hsieh. We study two important concepts in adversarial deep learning---adversarial training and generative adversarial ...

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