Yichen Zhou

Statistics and Probability · with Hooker · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #8,312 of 12,932 by trust here, #7,165 by citations
• Artificial Intelligence — 17 citations into it; #22,693 of 35,345 by trust here, #25,040 by citations
• Statistical Learning Theory — 17 citations into it
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Yichen Zhou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leo Breiman
2. Trevor J. Hastie
3. Niko Speybroeck
4. Stefan Wager
5. David Ruppert
6. Lucas K. Mentch
7. Jerome H. Friedman
8. Gérard Biau
9. Yoav Benjamini
10. R. Caruana

Who trusts Yichen Zhou overall

1. Vaishak Belle
2. Giorgio Visani
3. Francesco Bodria
4. Bo Li
5. Ioannis Papantonis
6. Houtao Deng
7. Enrico Bagli
8. Fosca Giannotti
9. Riccardo Guidotti
10. Peng Qi

Papers from Yichen Zhou's perspective

Ordered by how strongly the researchers Yichen Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Regression Shrinkage and Selection via the Lasso
3. Random Forests
4. Bagging Predictors
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. The Elements of Statistical Learning
10. Long Short-Term Memory

Their papers

• Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution (2018) — 14 citations
• Interpreting Models via Single Tree Approximation (2016) — 56 citations