Joe Neeman

Statistics and Probability · 2010–2017

A researcher in the Science corpus: 8 papers; trusts 55 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 36 citations into it; #7,992 of 12,932 by trust here, #6,853 by citations
• Statistical and Nonlinear Physics — 26 citations into it; #9,577 of 10,127 by trust here, #3,735 by citations
• Artificial Intelligence — 24 citations into it; #7,158 of 35,345 by trust here, #12,387 by citations
• Computational Theory and Mathematics — 21 citations into it; #5,422 of 12,182 by trust here, #5,239 by citations
• Mathematical Physics — 19 citations into it; #1,531 of 8,562 by trust here, #2,904 by citations
• Geometry and Topology — 13 citations into it; #3,511 of 7,422 by trust here, #3,077 by citations
• Statistical Learning Theory — 13 citations into it
• Applied Mathematics — 10 citations into it; #6,468 of 7,620 by trust here, #6,241 by citations

Whom Joe Neeman trusts overall

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

1. Elchanan Mossel
2. Michel Talagrand
3. Michel Ledoux
4. Prasad Raghavendra
5. Frank McSherry
6. Peter L. Bartlett
7. Shahar Mendelson
8. Li-Yang Tan
9. Per Austrin
10. Aurelien Decelle

Who trusts Joe Neeman overall

1. Francis R. Bach
2. Ingo Steinwart
3. Elchanan Mossel
4. Francesco Orabona
5. Ronen Eldan
6. Emmanuel Abbe
7. Susan Athey
8. Stefan Wager
9. Xinkun Nie
10. Lenka Zdeborov'a

Papers from Joe Neeman's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Normalized cuts and image segmentation
3. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
4. Ideal spatial adaptation by wavelet shrinkage
5. The concentration of measure phenomenon
6. High-dimensional graphs and variable selection with the Lasso
7. Probability Inequalities for Sums of Bounded Random Variables
8. Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming
9. HIGH-DIMENSIONAL GENERALIZED LINEAR MODELS AND THE LASSO
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Regularization in kernel learning (2010) — 158 citations
• ℓ1-regularized linear regression: persistence and oracle inequalities (2011) — 59 citations
• A Proof of the Block Model Threshold Conjecture (2013) — 356 citations
• Non interactive simulation of correlated distributions is decidable (2017) — 29 citations
• Robust dimension free isoperimetry in Gaussian space (2012) — 54 citations
• Spectral redemption in clustering sparse networks (2013) — 660 citations
• Reconstruction and estimation in the planted partition model (2012) — 388 citations
• Robust Optimality of Gaussian Noise Stability (2012) — 62 citations