Jonathan Weed

Statistics and Probability · 2017

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it
• Applied Mathematics — 10 citations into it; #2,090 of 7,620 by trust here, #3,258 by citations
• Computational Mechanics — 7 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Artificial Intelligence — 6 citations into it; #15,187 of 35,345 by trust here, #23,731 by citations
• Computational Theory and Mathematics — 6 citations into it
• Numerical Analysis — 5 citations into it; #1,295 of 3,586 by trust here, #1,448 by citations
• Optimization & Training — 5 citations into it

Whom Jonathan Weed trusts overall

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

1. Emmanuel Boissard
2. Nicolas G. Fournier
3. Cédric Villani
4. Steffen Dereich
5. Marco Cuturi
6. Filippo Santambrogio
7. Arnaud Guillin
8. Sébastien Bubeck
9. Philippe Rigollet
10. Alexandre B. Tsybakov

Who trusts Jonathan Weed overall

1. Jing Lei
2. Marco Cuturi
3. François-Pierre Paty
4. Victor M. Panaretos
5. G. Peyr'e
6. D. Kühn
7. Yujia Xie
8. Aude Genevay
9. Yoav Zemel
10. Peyman Mohajerin Esfahani

Papers from Jonathan Weed's perspective

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

1. Optimal Transport: Old and New
2. Information Theory: 1948-1998 - Guest Editorial
3. Sinkhorn Distances: Lightspeed Computation of Optimal Transport
4. The Earth Mover's Distance as a Metric for Image Retrieval
5. Foundations of Quantization for Probability Distributions
6. The concentration of measure phenomenon
7. On the mean speed of convergence of empirical and occupation measures in Wasserstein distance
8. Prediction, learning, and games
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Quantitative Concentration Inequalities for Empirical Measures on Non-compact Spaces

Their papers

• Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration (2017) — 689 citations
• Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance (2017) — 514 citations