Cho-Jui Hsieh
Title
Cited by
Cited by
Year
LIBLINEAR: A library for large linear classification
RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin
the Journal of machine Learning research 9, 1871-1874, 2008
84082008
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
10182008
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
5702017
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
4512010
Sparse inverse covariance matrix estimation using quadratic approximation
CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar
arXiv preprint arXiv:1306.3212, 2013
3692013
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
arXiv preprint arXiv:1705.09056, 2017
3232017
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
2972012
Ead: elastic-net attacks to deep neural networks via adversarial examples
PY Chen, Y Sharma, H Zhang, J Yi, CJ Hsieh
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
2842018
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines.
KW Chang, CJ Hsieh, CJ Lin
Journal of Machine Learning Research 9 (7), 2008
2722008
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
2632010
Towards fast computation of certified robustness for relu networks
L Weng, H Zhang, H Chen, Z Song, CJ Hsieh, L Daniel, D Boning, ...
International Conference on Machine Learning, 5276-5285, 2018
2582018
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
2262018
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
2192011
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
1892012
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables.
CJ Hsieh, MA Sustik, IS Dhillon, P Ravikumar, RA Poldrack
NIPS 26, 3165-3173, 2013
1862013
Efficient neural network robustness certification with general activation functions
H Zhang, TW Weng, PY Chen, CJ Hsieh, L Daniel
arXiv preprint arXiv:1811.00866, 2018
1812018
Large batch optimization for deep learning: Training bert in 76 minutes
Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ...
arXiv preprint arXiv:1904.00962, 2019
165*2019
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
1642013
Towards robust neural networks via random self-ensemble
X Liu, M Cheng, H Zhang, CJ Hsieh
Proceedings of the European Conference on Computer Vision (ECCV), 369-385, 2018
1592018
A divide-and-conquer solver for kernel support vector machines
CJ Hsieh, S Si, IS Dhillon
ICML, 2014
1562014
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Articles 1–20