Combinatorics of random processes and sections of convex bodies

By Mark Rudelson, Roman Vershynin. 2004

66 citations recorded by the source corpus.

We find a sharp combinatorial bound for the metric entropy of sets in R n and general classes of functions. This solves two basic combinatorial conjectures on the empirical processes. 1. A class of functions satisfies the uniform Central Limit Theorem if the square root of its combinatorial dimension is integrable. 2. The uniform entropy is equivalent to the combinatorial dimension under minimal regularity. Our method also constructs a nicely bounded coordinate section of a symmetric convex body in R n . In the operator theory, this essentially proves for all normed spaces the restricted invertibility principle of Bourgain and Tzafriri.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/fed5c08e85992f77a68d55aade3229cde68e586d

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In Artificial Intelligence

  1. Karthik Sridharan
  2. Alexander Rakhlin
  3. Ohad Shamir
  4. Ambuj Tewari
  5. Nati Srebro
  6. Gábor Lugosi
  7. David Lopez-Paz
  8. Peter Richtárik

In Computer Networks and Communications

  1. Alexander Rakhlin
  2. Sanjoy K. Mitter
  3. Olivier Bousquet
  4. Gábor Lugosi
  5. Charles Fefferman
  6. Ambuj Tewari
  7. Karthik Sridharan
  8. Ian Osband

In Statistics and Probability

  1. Stéphane Boucheron
  2. Gábor Lugosi
  3. Olivier Bousquet
  4. Alexander Rakhlin
  5. Sanjoy K. Mitter
  6. Hariharan Narayanan
  7. Karthik Sridharan
  8. Ambuj Tewari

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