Mariia Vladimirova

Statistics and Probability · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 9 citations into it
• Artificial Intelligence — 8 citations into it

Whom Mariia Vladimirova trusts overall

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

1. Roman Vershynin
2. Omiros Papaspiliopoulos
3. Arun K. Kuchibhotla
4. Stéphane Boucheron
5. Sam Schoenholz
6. Jaehoon Lee
7. Abhishek Chakrabortty
8. Olivier Catoni
9. Gábor Lugosi
10. Radosław Adamczak

Papers from Mariia Vladimirova's perspective

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

1. Deep Information Propagation
2. High-Dimensional Probability: An Introduction with Applications in Data Science
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Concentration Inequalities: A Nonasymptotic Theory of Independence
5. Deep Neural Networks as Gaussian Processes
6. High-Dimensional Probability
7. Restricted Isometry Property of Matrices with Independent Columns and Neighborly Polytopes by Random Sampling
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet classification with deep convolutional neural networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sub‐Weibull distributions: Generalizing sub‐Gaussian and sub‐Exponential properties to heavier tailed distributions (2019) — 118 citations