Cho-Jui Hsieh
Cho-Jui Hsieh
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LIBLINEAR: A library for large linear classification
RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin
Journal of machine learning research 9 (Aug), 1871-1874, 2008
81112008
A dual coordinate descent method for large-scale linear SVM
CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan
Proceedings of the 25th international conference on Machine learning, 408-415, 2008
9812008
Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models
PY Chen, H Zhang, Y Sharma, J Yi, CJ Hsieh
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
4732017
Training and testing low-degree polynomial data mappings via linear SVM.
YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin
Journal of Machine Learning Research 11 (4), 2010
4292010
Sparse inverse covariance matrix estimation using quadratic approximation
CJ Hsieh, IS Dhillon, PK Ravikumar, MA Sustik
Advances in neural information processing systems, 2330-2338, 2011
3562011
Scalable coordinate descent approaches to parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, I Dhillon
2012 IEEE 12th International Conference on Data Mining, 765-774, 2012
2842012
Coordinate descent method for large-scale l2-loss linear support vector machines
KW Chang, CJ Hsieh, CJ Lin
Journal of Machine Learning Research 9 (Jul), 1369-1398, 2008
2722008
Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent
X Lian, C Zhang, H Zhang, CJ Hsieh, W Zhang, J Liu
Advances in Neural Information Processing Systems, 5330-5340, 2017
2682017
A comparison of optimization methods and software for large-scale l1-regularized linear classification
GX Yuan, KW Chang, CJ Hsieh, CJ Lin
The Journal of Machine Learning Research 11, 3183-3234, 2010
2622010
Ead: elastic-net attacks to deep neural networks via adversarial examples
PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh
arXiv preprint arXiv:1709.04114, 2017
2462017
Towards fast computation of certified robustness for relu networks
TW Weng, H Zhang, H Chen, Z Song, CJ Hsieh, D Boning, IS Dhillon, ...
arXiv preprint arXiv:1804.09699, 2018
2182018
Fast coordinate descent methods with variable selection for non-negative matrix factorization
CJ Hsieh, IS Dhillon
Proceeding of the 17th ACM SIGKDD international conference on Knowledge …, 2011
2102011
Imagenet training in minutes
Y You, Z Zhang, CJ Hsieh, J Demmel, K Keutzer
Proceedings of the 47th International Conference on Parallel Processing, 1-10, 2018
2082018
Large linear classification when data cannot fit in memory
HF Yu, CJ Hsieh, KW Chang, CJ Lin
ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (4), 1-23, 2012
1842012
BIG & QUIC: Sparse inverse covariance estimation for a million variables
CJ Hsieh, MA Sustik, IS Dhillon, PK Ravikumar, R Poldrack
Advances in neural information processing systems, 3165-3173, 2013
1812013
NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion
H Yun, HF Yu, CJ Hsieh, SVN Vishwanathan, I Dhillon
arXiv preprint arXiv:1312.0193, 2013
1562013
A sequential dual method for large scale multi-class linear SVMs
SS Keerthi, S Sundararajan, KW Chang, CJ Hsieh, CJ Lin
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
1532008
A divide-and-conquer solver for kernel support vector machines
CJ Hsieh, S Si, IS Dhillon
ICML, 2014
1492014
Efficient neural network robustness certification with general activation functions
H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel
Advances in neural information processing systems, 4939-4948, 2018
1472018
QUIC: quadratic approximation for sparse inverse covariance estimation
CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar
The Journal of Machine Learning Research 15 (1), 2911-2947, 2014
1432014
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