all AI news
Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains. (arXiv:2011.11435v4 [math.PR] UPDATED)
March 21, 2022, 1:10 a.m. | Quentin Duchemin (LAMA), Yohann de Castro (ICJ), Claire Lacour (LAMA)
stat.ML updates on arXiv.org arxiv.org
We prove a new concentration inequality for U-statistics of order two for
uniformly ergodic Markov chains. Working with bounded and $\pi$-canonical
kernels, we show that we can recover the convergence rate of Arcones and
Gin{\'e} who proved a concentration result for U-statistics of independent
random variables and canonical kernels. Our result allows for a dependence of
the kernels $h_{i,j}$ with the indexes in the sums, which prevents the use of
standard blocking tools. Our proof relies on an inductive analysis …
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Intelligence Analyst
@ Rappi | COL-Bogotá
Applied Scientist II
@ Microsoft | Redmond, Washington, United States