Strong Self-Concordance and Sampling

November 13, 2019 Β· Declared Dead Β· πŸ› Symposium on the Theory of Computing

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Authors Aditi Laddha, Yin Tat Lee, Santosh Vempala arXiv ID 1911.05656 Category cs.DS: Data Structures & Algorithms Citations 30 Venue Symposium on the Theory of Computing Last Checked 3 months ago
Abstract
Motivated by the Dikin walk, we develop aspects of an interior-point theory for sampling in high dimension. Specifically, we introduce a symmetric parameter and the notion of strong self-concordance. These properties imply that the corresponding Dikin walk mixes in $\tilde{O}(n\barΞ½)$ steps from a warm start in a convex body in $\mathbb{R}^{n}$ using a strongly self-concordant barrier with symmetric self-concordance parameter $\barΞ½$. For many natural barriers, $\barΞ½$ is roughly bounded by $Ξ½$, the standard self-concordance parameter. We show that this property and strong self-concordance hold for the Lee-Sidford barrier. As a consequence, we obtain the first walk to mix in $\tilde{O}(n^{2})$ steps for an arbitrary polytope in $\mathbb{R}^{n}$. 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.
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