Kevin A. Lai

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #6,427 of 35,345 by trust here, #10,667 by citations
• Optimization & Training — 14 citations into it; #1,835 of 2,601 by trust here, #2,162 by citations
• Privacy & Security — 13 citations into it
• Statistics and Probability — 9 citations into it; #2,280 of 12,932 by trust here, #2,629 by citations
• Statistical Learning Theory — 6 citations into it; #347 of 1,038 by trust here, #409 by citations

Whom Kevin A. Lai trusts overall

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

1. Joel A. Tropp
2. E.J. Candes
3. Cynthia Dwork
4. Peter Filzmoser
5. Nojun Kwak
6. Raef Bassily
7. Moritz Hardt
8. Xiaodong Li
9. Adam D. Smith
10. Avrim Blum

Who trusts Kevin A. Lai overall

1. Ilias Diakonikolas
2. Pravesh Kothari
3. Jacob Steinhardt
4. Jerry Zheng Li
5. Daniel M. Kane
6. Gautam Kamath
7. Deepesh Data
8. Dong Yin
9. Sai Praneeth Karimireddy
10. Yu Cheng

Papers from Kevin A. Lai's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Calibrating Noise to Sensitivity in Private Data Analysis
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Agnostic Estimation of Mean and Covariance (2016) — 375 citations
• Last-iterate convergence rates for min-max optimization (2019) — 75 citations
• Differential Privacy for Growing Databases (2018) — 46 citations