Tsachy Weissman

Artificial Intelligence · 2003–2022

A researcher in the Science corpus: 12 papers; trusts 43 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it; #14,757 of 35,345 by trust here, #14,438 by citations
• Statistics and Probability — 87 citations into it; #1,676 of 12,932 by trust here, #1,112 by citations
• Molecular Biology — 40 citations into it
• Statistical Learning Theory — 32 citations into it; #358 of 1,038 by trust here, #365 by citations
• Information Theory — 26 citations into it
• Control and Systems Engineering — 18 citations into it
• Signal Processing — 17 citations into it
• Computer Networks and Communications — 16 citations into it; #1,296 of 9,886 by trust here, #2,136 by citations

Whom Tsachy Weissman trusts overall

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

1. Gregory Valiant
2. Paul Valiant
3. Liam Paninski
4. Jiantao Jiao
5. Jayadev Acharya
6. Yihong Wu
7. Alexandre B. Tsybakov
8. Yanjun Han
9. Michel Ledoux
10. Daniel Berend

Who trusts Tsachy Weissman overall

1. Jayadev Acharya
2. Alexander L. Strehl
3. Leighton Pate Barnes
4. Yanjun Han
5. Jiantao Jiao
6. Ian Osband
7. Michael L. Littman
8. Ayfer Özgür
9. Clément Louis Canonne
10. Assaf Hallak

Papers from Tsachy Weissman's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Introduction to Nonparametric Estimation
3. Minimax Estimation of Functionals of Discrete Distributions
4. Asymptotic Methods In Statistical Decision Theory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Probability Inequalities for Sums of Bounded Random Variables
9. Concentration Inequalities: A Nonasymptotic Theory of Independence
10. Exact Matrix Completion via Convex Optimization

Their papers

• Minimax Estimation of the $L_1$ Distance (2017) — 57 citations
• The Human Pangenome Project: a global resource to map genomic diversity (2022) — 392 citations
• Inequalities for the L1 Deviation of the Empirical Distribution (2003) — 342 citations
• Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints (2018) — 101 citations
• Maximum Likelihood Estimation of Functionals of Discrete Distributions (2014) — 112 citations
• Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions (2018) — 54 citations
• Minimax Estimation of Discrete Distributions Under $\ell _{1}$ Loss (2014) — 48 citations
• Minimax estimation of the L1 distance (2016) — 68 citations
• Minimax estimation of discrete distributions (2015) — 25 citations
• Minimax Rate-optimal Estimation of KL Divergence between Discrete Distributions (2016) — 44 citations
• Minimax Estimation of Functionals of Discrete Distributions (2014) — 269 citations
• Minimax Estimation of Discrete Distributions under ℓ1 Loss (2014) — 66 citations