Christian Fong
Statistics and Probability · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 43 citations into it; #10,924 of 12,932 by trust here, #10,275 by citations
- Causal Inference & Discovery — 21 citations into it
- Artificial Intelligence — 18 citations into it
- Natural Language Processing — 10 citations into it
- Political Science and International Relations — 10 citations into it
- Economics and Econometrics — 8 citations into it
Whom Christian Fong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kosuke Imai
- Guido W. Imbens
- Eric R. Ziegel
- Keisuke Hirano
- David M. Blei
- Donald B. Rubin
- Zhiqiang Tan
- José R. Zubizarreta
- Justin Grimmer
- Marc Ratkovic
Who trusts Christian Fong overall
Papers from Christian Fong's perspective
Ordered by how strongly the researchers Christian Fong 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)
- Gradient-based learning applied to document recognition
- The central role of the propensity score in observational studies for causal effects
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Latent Dirichlet Allocation
Their papers
- How to make causal inferences using texts (2018) — 185 citations
- Discovery of Treatments from Text Corpora (2016) — 54 citations
- Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements (2018) — 304 citations