Peng Xu
Stanford University
H-index: 16
North America-United States
Top articles of Peng Xu
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Inexact Newton-CG algorithms with complexity guarantees | IMA Journal of Numerical Analysis | Zhewei Yao Peng Xu Fred Roosta Stephen J Wright Michael W Mahoney | 2023/5 |
Entailment tree explanations via iterative retrieval-generation reasoner | arXiv preprint arXiv:2205.09224 | Danilo Ribeiro Shen Wang Xiaofei Ma Rui Dong Xiaokai Wei | 2022/5/18 |
Newton-MR: Inexact Newton method with minimum residual sub-problem solver | EURO Journal on Computational Optimization | Fred Roosta Yang Liu Peng Xu Michael W Mahoney | 2022/1/1 |
Multiplicative Position-aware Transformer Models for Language Understanding | arXiv preprint arXiv:2109.12788 | Zhiheng Huang Davis Liang Peng Xu Bing Xiang | 2021/9/27 |
Dual reader-parser on hybrid textual and tabular evidence for open domain question answering | arXiv preprint arXiv:2108.02866 | Alexander Hanbo Li Patrick Ng Peng Xu Henghui Zhu Zhiguo Wang | 2021/8/5 |
Systems, apparatuses, and methods to generate synthetic queries from customer data for training of document querying machine learning models | 2021/5/27 | ||
Contrastive document representation learning with graph attention networks | arXiv preprint arXiv:2110.10778 | Peng Xu Xinchi Chen Xiaofei Ma Zhiheng Huang Bing Xiang | 2021/10/20 |
Systems, apparatuses, and methods for document querying | 2021/5/27 | ||
Attention-guided generative models for extractive question answering | arXiv preprint arXiv:2110.06393 | Peng Xu Davis Liang Zhiheng Huang Bing Xiang | 2021/10/12 |
Improve transformer models with better relative position embeddings | arXiv preprint arXiv:2009.13658 | Zhiheng Huang Davis Liang Peng Xu Bing Xiang | 2020/9/28 |
Embedding-based zero-shot retrieval through query generation | arXiv preprint arXiv:2009.10270 | Davis Liang Peng Xu Siamak Shakeri Cicero Nogueira dos Santos Ramesh Nallapati | 2020/9/22 |
TRANS-BLSTM: Transformer with bidirectional LSTM for language understanding | arXiv preprint arXiv:2003.07000 | Zhiheng Huang Peng Xu Davis Liang Ajay Mishra Bing Xiang | 2020/3/16 |
Second-order optimization for non-convex machine learning: An empirical study | Peng Xu Fred Roosta Michael W Mahoney | 2020 | |
Newton-type methods for non-convex optimization under inexact Hessian information | Mathematical Programming | Peng Xu Fred Roosta Michael W Mahoney | 2020/11 |
Co-Authors
