Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Diala Wehbe"'
Autor:
Diala Wehbe, Nicolas Wicker
Publikováno v:
Sankhya B. 84:188-203
This paper aims at making explicit the mixing time found by Anari et al. (2016) for k-DPP Monte-Carlo sampling when it is applied on large graphs. This yields a polynomial bound on the mixing time of the associated Markov chain under mild conditions
Publikováno v:
MathematicS In Action
MathematicS In Action, 2021, ⟨10.5802/msia.13⟩
MathematicS In Action, Société de Mathématiques Appliquées et Industrielles, 2021, ⟨10.5802/msia.13⟩
MathematicS In Action, 2021, ⟨10.5802/msia.13⟩
MathematicS In Action, Société de Mathématiques Appliquées et Industrielles, 2021, ⟨10.5802/msia.13⟩
Determinantal point processes (DPPs) are popular tools that supply useful information for repulsiveness. They provide coherent probabilistic models when negative correlations arise and also represent new algo-rithms for inference problems like sampli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::982544ebf7dc4532e0ba8141f08dbcb1
https://hal.science/hal-03402874/document
https://hal.science/hal-03402874/document