7 citations · 12 across the 7 of their papers we have counts for
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stat.ML2017★ 3 cited
Selective Inference for Change Point Detection in Multi-dimensional Sequences
Yuta Umezu, Ichiro Takeuchi
We study the problem of detecting change points (CPs) that are characterized by a subset of dimensions in a multi-dimensional sequence. A method for detecting those CPs can be form…
stat.ML2016★ 1 cited
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu +1
We propose a novel kernel based post selection inference (PSI) algorithm, which can not only handle non-linearity in data but also structured output such as multi-dimensional and m…