Winter School on the Interplay between High-Dimensional Geometry and Probability

Winter School on the Interplay between High-Dimensional Geometry and Probability

Hausdorff Center for Mathematics via YouTube Direct link

Giovanni Peccati: Some applications of variational techniques in stochastic geometry I

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1 of 15

Giovanni Peccati: Some applications of variational techniques in stochastic geometry I

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Classroom Contents

Winter School on the Interplay between High-Dimensional Geometry and Probability

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  1. 1 Giovanni Peccati: Some applications of variational techniques in stochastic geometry I
  2. 2 Joe Neeman: Gaussian isoperimetry and related topics I
  3. 3 Radek Adamczak: Functional inequalities and concentration of measure I
  4. 4 Bo’az Klartag: On Yuansi Chen’s work on the KLS conjecture I
  5. 5 Giovanni Peccati: Some applications of variational techniques in stochastic geometry II
  6. 6 Monika Ludwig: Geometric probabilities and valuation theory
  7. 7 Bo’az Klartag: On Yuansi Chen’s work on the KLS conjecture II
  8. 8 Joe Neeman: Gaussian isoperimetry and related topics II
  9. 9 Tomasz Tkocz: Khinchin inequalities with sharp constants
  10. 10 Bo’az Klartag: On Yuansi Chen’s work on the KLS conjecture III
  11. 11 Radek Adamczak: Functional inequalities and concentration of measure II
  12. 12 Giovanni Peccati: Some applications of variational techniques in stochastic geometry III
  13. 13 Joe Neeman: Gaussian isoperimetry and related topics III
  14. 14 Radek Adamczak: Functional inequalities and concentration of measure III
  15. 15 Persi Diaconis: Haar-distributed random matrices - in memory of Elizabeth Meckes

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