Xi Chen
Artificial Intelligence · 3 papers · 2014–2017
A researcher in the Science corpus: 3 papers; trusts 47 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Statistics and Probability — 31 citations into it
- Management Science and Operations Research — 23 citations into it; #11,861 of 11,946 by trust here, #8,062 by citations
- Optimization & Training — 22 citations into it; #1,837 of 2,601 by trust here, #1,571 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Computational Mechanics — 9 citations into it
- Generative Models — 9 citations into it
- Control and Systems Engineering — 8 citations into it
Whom Xi Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolai Meinshausen
- Yurii E. Nesterov
- Robert Tibshirani
- Alex Krizhevsky
- Lin Xiao
- David Ruppert
- Peter Buhlmann
- Cun-Hui Zhang
- Ian J. Goodfellow
- Jianqing Fan
Who trusts Xi Chen overall
- Wesley J. Maddox
- Jacob Steinhardt
- John C. Duchi
- Alexander J. Ratner
- Zhiyun Lu
- Timur Garipov
- Stephen H. Bach
- Pavel Izmailov
- Peter W. Glynn
- Eugene Ie
Papers from Xi Chen's perspective
Ordered by how strongly the researchers Xi Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Statistical inference for model parameters in stochastic gradient descent (2016) — 169 citations
- Wasserstein Distributional Robustness and Regularization in Statistical Learning (2017) — 129 citations
- Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing (2014) — 406 citations