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Strong self-concordance and sampling

Conference Paper Session 9B: Randomness in Computing Algorithms and Complexity · Theoretical Computer Science

Abstract

Motivated by the Dikin walk, we develop aspects of the interior-point theory for sampling in high dimension. Specifically, we introduce the notions of strong self-concordance and symmetry for a barrier. These properties imply that the Dikin walk defined using a strongly self-concordant barrier with symmetry parameter ν mixes in Õ( n ν) steps from a warm start for a convex body in ℝ n . For many natural barriers, ν is roughly bounded by ν, the standard self-concordance parameter. We also show that these properties hold for the Lee-Sidford barrier. As a consequence, we obtain the first walk that mixes in Õ( n 2 ) steps for an arbitrary polytope in ℝ n . Strong self-concordance for other barriers leads to an interesting (and unexpected) connection — for the universal and entropic barriers, it is implied by the KLS conjecture.

Authors

Keywords

  • sampling
  • polytopes
  • self-concordance
  • markov chains

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
1015512599540188093
v2026.09.13