Tan Li

Artificial Intelligence · with Fragouli · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it

Whom Tan Li trusts overall

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

1. Peter Auer
2. T-H. Hubert Chan
3. Chunqiu Zeng
4. Jakub Konecný
5. Nicolò Cesa-Bianchi
6. Cynthia Dwork
7. Elaine Shi
8. H. Brendan McMahan
9. Qing Wang
10. Keqin Liu

Papers from Tan Li's perspective

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

1. Finite-time Analysis of the Multiarmed Bandit Problem
2. The Algorithmic Foundations of Differential Privacy
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. Deep Learning with Differential Privacy
6. Private and Continual Release of Statistics
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Federated Learning: Strategies for Improving Communication Efficiency

Their papers

• Federated Recommendation System via Differential Privacy (2020) — 75 citations