Cho-Jui Hsieh

10 catalog papers. Name-matched publications do not establish a verified researcher identity.

Publications

• Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data — Journal of Machine Learning Research 2020
• Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations — Journal of Machine Learning Research 2018
• Memory Efficient Kernel Approximation — Journal of Machine Learning Research 2017
• Prediction and Clustering in Signed Networks: A Local to Global Perspective — Journal of Machine Learning Research 2014
• QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation — Journal of Machine Learning Research 2014
• Training and Testing Low-degree Polynomial Data Mappings via Linear SVM — Journal of Machine Learning Research 2010
• Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models — Journal of Machine Learning Research 2010
• A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification — Journal of Machine Learning Research 2010
• Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines — Journal of Machine Learning Research 2008
• LIBLINEAR: A Library for Large Linear Classification — Journal of Machine Learning Research 2008