The Mixing Time of the Dikin Walk in a Polytope - A Simple Proof
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Abstract (arXiv)
We study the mixing time of the Dikin walk in a polytope - a random walk based on the log-barrier from the interior point method literature. This walk, and a close variant, were studied by Narayanan (2016) and Kannan-Narayanan (2012). Bounds on its mixing time are important for algorithms for sampling and optimization over polytopes. Here, we provide a simple proof of their result that this random walk mixes in time O(mn) for an n-dimensional polytope described using m inequalities.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Aug 2015.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 1; 2026: 2.
7 papers.
- 2023Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithmcited by 11
- 2021Sampling from Log-Concave Distributions with Infinity-Distance Guaranteescited by 8
- 2025Tukey Depth Mechanisms for Practical Private Mean Estimationcited by 2
- 2022Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walkcited by 1
- 2024PolytopeWalk: Sparse MCMC Sampling over Polytopescited by 1
- 2026Beyond the d2.5-mixing bound for Dikin walks on polytopescited by 1
- 2026On two proofs of d2 mixing of weighted Dikin walkscited by 0
- 2026On two proofs of d2 mixing of weighted Dikin walks28 Aug 2026
- 2026Beyond the d2.5-mixing bound for Dikin walks on polytopes15 Jul 2026
- 2025Tukey Depth Mechanisms for Practical Private Mean Estimation25 Feb 2025
- 2024PolytopeWalk: Sparse MCMC Sampling over Polytopes9 Dec 2024
- 2023Fast sampling from constrained spaces using the Metropolis-adjusted Mirror Langevin algorithm14 Dec 2023
- 2022Sampling from Log-Concave Distributions over Polytopes via a Soft-Threshold Dikin Walk19 Jun 2022
- 2021Sampling from Log-Concave Distributions with Infinity-Distance Guarantees7 Nov 2021