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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2022-01-18
Online Online IBISML2021-24 We aim to explain a black-box classifier with the form: `data X is classified as class Y because X has A, B and does not... [more] IBISML2021-24
IBISML 2017-11-09
Tokyo Univ. of Tokyo Online Optimization Method for Generalized $ell_1$ Regularized Problems
Yoshihiro Nakazato, Kazuto Fukuchi (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./Riken/JST) IBISML2017-47
Structured sparse regularization is vital to enhance the precision and the interpretability of the model by introducing ... [more] IBISML2017-47
IBISML 2017-11-09
Tokyo Univ. of Tokyo Consequently Fair Contextual Bandit Learning
Kazuto Fukuchi (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST/RIKEN) IBISML2017-53
Fairness in machine learning is being recognized as an important field. It requires that the consequent decisions made b... [more] IBISML2017-53
IBISML 2016-11-16
Kyoto Kyoto Univ. Proximal Average Accelerated Proximal Gradient Algorithm with Adaptive Restart
Yoshihiro Nakazato, Kazuto Fukuchi, Jun Sakuma (Univ. Tsukuba) IBISML2016-55
When using multiple regularizers, their proximal mapping is not easily available in closed form.
The method to calculat... [more]
IBISML 2016-11-17
Kyoto Kyoto Univ. Minimax optimal estimator for additively decomposable scalar functionals of discrete distributions
Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2016-82
We deal with a problem of estimating additively decomposable scalar functionals from a set of $n$ iid samples drawn from... [more] IBISML2016-82
IBISML 2014-11-17
Aichi Nagoya Univ. [Poster Presentation] Differential Privacy on Linear Regression Model of Crowdsensing
Tran Quang Khai, Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2014-47
Learning statistic models using the data collected from crowd is one of the important tasks in the crowdsensing. Crowdse... [more] IBISML2014-47
PRMU, IBISML, IPSJ-CVIM [detail] 2014-09-01
Ibaraki   Neutralized Empirical Risk Minimization with Covariance-based Neutrality Risk
Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) PRMU2014-48 IBISML2014-29
In order to apply machine learning algorithms to real world problems, it is necessary to ensure that discrimination, unf... [more] PRMU2014-48 IBISML2014-29
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