Oliver Williams

Artificial Intelligence · 2010–2015

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Privacy & Security — 13 citations into it
• Statistics and Probability — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Oliver Williams trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Kamalika Chaudhuri
4. Adam D. Smith
5. Claire Monteleoni
6. Olivier Bousquet
7. Larry A. Wasserman
8. Kobbi Nissim
9. Shai Shalev-Shwartz
10. Duy Vu

Who trusts Oliver Williams overall

1. Adam D. Smith
2. Garrett Bernstein
3. Raef Bassily
4. Abhradeep Thakurta
5. Kamalika Chaudhuri
6. Shuang Song
7. Davide Proserpio
8. Giulia C. Fanti
9. Liyue Fan
10. D. Sheldon

Papers from Oliver Williams's perspective

Ordered by how strongly the researchers Oliver Williams 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. Intriguing properties of neural networks
5. Calibrating Noise to Sensitivity in Private Data Analysis
6. Learning Multiple Layers of Features from Tiny Images
7. Stability and Generalization
8. Differential Privacy
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Differentially Private Empirical Risk Minimization

Their papers

• To Drop or Not to Drop: Robustness, Consistency and Differential Privacy Properties of Dropout (2015) — 33 citations
• Probabilistic Inference and Differential Privacy (2010) — 146 citations