Peng Xu
Peng Xu
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Newton-type methods for non-convex optimization under inexact hessian information
P Xu, F Roosta, MW Mahoney
Mathematical Programming, 1-36, 2019
942019
Sub-sampled Newton methods with non-uniform sampling
P Xu, J Yang, F Roosta, C Ré, MW Mahoney
Advances in Neural Information Processing Systems, 3000-3008, 2016
702016
Second-order optimization for non-convex machine learning: An empirical study
P Xu, F Roosta, MW Mahoney
Proceedings of the 2020 SIAM International Conference on Data Mining, 199-207, 2020
592020
GIANT: Globally improved approximate Newton method for distributed optimization
S Wang, F Roosta, P Xu, MW Mahoney
Advances in Neural Information Processing Systems, 2332-2342, 2018
312018
Inexact non-convex Newton-type methods
Z Yao, P Xu, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1802.06925, 2018
232018
Socratic learning: Augmenting generative models to incorporate latent subsets in training data
P Varma, B He, D Iter, P Xu, R Yu, C De Sa, C Ré
arXiv preprint arXiv:1610.08123, 2016
22*2016
Accelerated Stochastic Power Iteration.
CS De, B He, I Mitliagkas, C Ré, P Xu
Proceedings of machine learning research 84, 58-67, 2018
162018
Accelerated stochastic power iteration
C De Sa, B He, I Mitliagkas, C Ré, P Xu
Proceedings of machine learning research 84, 58, 2018
132018
Newton-MR: Newton's Method Without Smoothness or Convexity
F Roosta, Y Liu, P Xu, MW Mahoney
arXiv preprint arXiv:1810.00303, 2018
82018
Trust region based adversarial attack on neural networks
Z Yao, A Gholami, P Xu, K Keutzer, MW Mahoney
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
72019
Passage Ranking with Weak Supervision
P Xu, X Ma, R Nallapati, B Xiang
arXiv preprint arXiv:1905.05910, 2019
22019
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
Z Huang, P Xu, D Liang, A Mishra, B Xiang
arXiv preprint arXiv:2003.07000, 2020
2020
Domain Adaptation with BERT-based Domain Classification and Data Selection
X Ma, P Xu, Z Wang, R Nallapati, B Xiang
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019
2019
On the effectiveness and simplicity of linear recursive neural network
P Xu, R Wang
The system can't perform the operation now. Try again later.
Articles 1–14