Yu Cheng

Artificial Intelligence · with Diakonikolas · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Statistics and Probability — 25 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Yu Cheng trusts overall

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

1. Ilias Diakonikolas
2. Finn Verner Jensen
3. Daniel M. Kane
4. Jerry Zheng Li
5. Jacob Steinhardt
6. Gautam Kamath
7. Samuel B. Hopkins
8. Kevin A. Lai
9. Adarsh Prasad
10. Alistair Stewart

Who trusts Yu Cheng overall

1. Ilias Diakonikolas
2. Jacob Steinhardt

Papers from Yu Cheng's perspective

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

1. Learning from untrusted data
2. Mathematics and the Picturing of Data
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Et al
8. Robust statistics: the approach based on influence functions
9. Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• High-Dimensional Robust Mean Estimation in Nearly-Linear Time (2018) — 132 citations
• Robust Learning of Fixed-Structure Bayesian Networks (2016) — 47 citations