Follow
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
91122008
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
10962008
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
10922017
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 30, 2017
6442017
Visualbert: A simple and performant baseline for vision and language
LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang
arXiv preprint arXiv:1908.03557, 2019
6052019
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
5812010
Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks
WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
5212019
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
4872018
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
4682018
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
463*2019
Sparse inverse covariance matrix estimation using quadratic approximation
CJ Hsieh, I Dhillon, P Ravikumar, M Sustik
Advances in neural information processing systems 24, 2011
3922011
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 31, 2018
3882018
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
3522018
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
3132018
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
3082012
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
3072008
Evaluating the robustness of neural networks: An extreme value theory approach
TW Weng, H Zhang, PY Chen, J Yi, D Su, Y Gao, CJ Hsieh, L Daniel
arXiv preprint arXiv:1801.10578, 2018
2932018
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
2832010
Query-efficient hard-label black-box attack: An optimization-based approach
M Cheng, T Le, PY Chen, J Yi, H Zhang, CJ Hsieh
arXiv preprint arXiv:1807.04457, 2018
2562018
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
2492011
The system can't perform the operation now. Try again later.
Articles 1–20