Peng Xu
Citado por
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Newton-type methods for non-convex optimization under inexact Hessian information
P Xu, F Roosta, MW Mahoney
Mathematical Programming 184 (1-2), 35-70, 2020
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
Sub-sampled Newton methods with non-uniform sampling
P Xu, J Yang, F Roosta, C Ré, MW Mahoney
Advances in Neural Information Processing Systems 29, 2016
Giant: Globally improved approximate newton method for distributed optimization
S Wang, F Roosta, P Xu, MW Mahoney
Advances in Neural Information Processing Systems 31, 2018
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
Accelerated stochastic power iteration
P Xu, B He, C De Sa, I Mitliagkas, C Re
International Conference on Artificial Intelligence and Statistics, 58-67, 2018
Improve transformer models with better relative position embeddings
Z Huang, D Liang, P Xu, B Xiang
arXiv preprint arXiv:2009.13658, 2020
Trust region based adversarial attack on neural networks
Z Yao, A Gholami, P Xu, K Keutzer, MW Mahoney
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Inexact non-convex Newton-type methods
Z Yao, P Xu, F Roosta-Khorasani, MW Mahoney
arXiv preprint arXiv:1802.06925, 2018
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
Newton-MR: Newton's method without smoothness or convexity
F Roosta, Y Liu, P Xu, MW Mahoney
arXiv preprint arXiv:1810.00303, 2018
Embedding-based zero-shot retrieval through query generation
D Liang, P Xu, S Shakeri, CN Santos, R Nallapati, Z Huang, B Xiang
arXiv preprint arXiv:2009.10270, 2020
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
Entailment tree explanations via iterative retrieval-generation reasoner
D Ribeiro, S Wang, X Ma, R Dong, X Wei, H Zhu, X Chen, Z Huang, P Xu, ...
arXiv preprint arXiv:2205.09224, 2022
Passage Ranking with Weak Supervision
P Xu, X Ma, R Nallapati, B Xiang
arXiv preprint arXiv:1905.05910, 2019
Dual reader-parser on hybrid textual and tabular evidence for open domain question answering
AH Li, P Ng, P Xu, H Zhu, Z Wang, B Xiang
arXiv preprint arXiv:2108.02866, 2021
Inexact Newton-CG algorithms with complexity guarantees
Z Yao, P Xu, F Roosta, SJ Wright, MW Mahoney
IMA Journal of Numerical Analysis 43 (3), 1855-1897, 2023
Attention-guided generative models for extractive question answering
P Xu, D Liang, Z Huang, B Xiang
arXiv preprint arXiv:2110.06393, 2021
Newton-MR: Inexact Newton method with minimum residual sub-problem solver
F Roosta, Y Liu, P Xu, MW Mahoney
EURO Journal on Computational Optimization 10, 100035, 2022
Contrastive document representation learning with graph attention networks
P Xu, X Chen, X Ma, Z Huang, B Xiang
arXiv preprint arXiv:2110.10778, 2021
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