セミナーのご案内：第74回統計的機械学習セミナー（6/4）

[Kenji Fukumizu]

ibismlの皆様

統計数理研究所の福水です。以下の通り第74回統計的機械学習セミナーをハイブリッドで開催します。ご関心のある方のご参加をお待ちしています。

The 68th Statistical Machine Learning Seminar

Date & Time: June 4th (Thursday)  2026,   16:00--17:30

Hybrid

- Room:  Meeting Room 2 (D208, 2nd floor), ISM.

- Online: please register at the google forms,

https://forms.gle/mbuhzR23b7bnRW2HA

Speaker: Wenkai Xu (University of Warwick) 

Title: Conformal prediction under data corruption, with extension to multi-variate uncertainty quantification

Abstract:
Conformal prediction provides powerful nonparametric techniques for constructing prediction intervals or prediction sets that are data-adaptive and model-free. One key assumption for conformal set guarantee is the exchangeability of the data. With the presence of corrupted observations, exchangeability assumptions are violated. We present techniques to adapt conformal prediction techniques into the general Huber contamination setting and provide the revised coverage guarantees. In addition, extending beyond univariate residuals, we present how an ordering of multivariate residuals based on reproducing kernels can help us better understand uncertainty quantification in complex data scenarios.

 

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福水健次

情報・システム研究機構　統計数理研究所

先端データサイエンス研究系・統計的機械学習研究センター長 教授

（兼）総合研究大学院大学 先端学術院 統計科学コース

〒190-8562　東京都立川市緑町10-3

tel: 050-5533-8540 (直)

e-mail: fuku...@ism.ac.jp

URL: http://www.ism.ac.jp/~fukumizu/

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