Concentration in a thin Euclidean shell for log-concave measures
By B. Fleury. 2010
49 citations recorded by the source corpus.
Subfields: Applied Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/70adf644a934bc74007a138813a0835b7067b4e0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
- Emanuel Milman
- Olivier Guédon
- Joseph Lehec
- Bo'az Klartag
- Santosh Srinivas Vempala
- Benjamin R. Cousins
- Ronen Eldan
- A. V. Kolesnikov
In Statistics and Probability
- Emanuel Milman
- Joseph Lehec
- Olivier Guédon
- Benjamin R. Cousins
- Santosh Srinivas Vempala
- Bo'az Klartag
- Grigoris Paouris
- Radosław Adamczak
Citations in the corpus
- Interpolating Thin-Shell and Sharp Large-Deviation Estimates for Lsotropic Log-Concave Measures (2010, methodology): “A different proof continuing Paouris’ approach was given by Fleury, Guédon and Paouris in [16].”
- Bourgain’s slicing problem and KLS isoperimetry up to polylog (2022, methodology): “Earlier bounds for σn utilized the Concentration of Measure Phenomenon, see [31], Fleury [25] and Guédon and Milman [26], following Paouris’ large deviation principle [39].”
- Bypassing KLS: Gaussian Cooling and an O^*(n3) Volume Algorithm (2014, background): “The KLS hyperplane conjecture remains unresolved, in spite of intensive efforts and partial progress towards its resolution [2, 12, 11].”