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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2016-11-16 15:00 |
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] |
IBISML2016-55 pp.65-71 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Additive Model Decomposition with Global Sparse Structure for Multi-task Granger Causal Estimation Hitoshi Abe, Jun Sakuma (Univ. Tsukuba) IBISML2016-56 |
Causality estimation is one of the key issues in time-series data analysis. Granger causality is widely known as a form... [more] |
IBISML2016-56 pp.73-79 |
| IBISML | 2016-11-17 14:00 |
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 pp.259-265 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Empirical risk minimization for interval data and its applications to privacy preservations Hiroyuki Hanada, Toshiyuki Takada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) IBISML2016-89 |
In this research, for machine learning tasks, we consider that the values in the training data are given as intervals an... [more] | IBISML2016-89 pp.305-312 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 10:45 |
Toyama | A proposal on quick sensitivity analysis of empirical risk minimization problems Hiroyuki Hanada, Atsushi Shibagaki (NITech), Jun Sakuma (Univ. of Tsukuba), Ichiro Takeuchi (NITech) PRMU2016-80 IBISML2016-35 |
For a training data set consisting of $n$ vectors of $d$ dimensions, we consider obtaining a training result from it by ... [more] | PRMU2016-80 IBISML2016-35 pp.203-210 |
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| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Theoretical Vulnerability Evaluation on Linear Classifier under Self-Information Controllable Settings Shohei Kobayashi (Univ. of Tsukuba), Shota Okumura, Ichiro Takeuchi (nitech), Jun Sakuma (Univ. of Tsukuba) IBISML2015-64 |
Self-information controllable learning is machine learning algorithms that allow data providers to control their data ev... [more] | IBISML2015-64 pp.83-90 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Secure Approximation Guarantee for Private Empirical Risk Minimization with Homomorphic Encryption Toshiyuki Takada, Hiroyuki Hanada (NIT), Jun Sakuma (Univ.Tsukuba), Ichiro takeuchi (NIT) IBISML2015-86 |
Privacy concern has been increasingly important in many machine learning problems. In this paper, we study empirical ris... [more] | IBISML2015-86 pp.249-256 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 13:25 |
Okinawa | Okinawa Institute of Science and Technology | Differentially Private Multiple Hypothesis Testing Kazuya Kakizaki, Jun Sakuma (Tsukuba Univ.) IBISML2015-8 |
Statistical hypothesis testing using test statistics ($p$-value) are commonly used for identification of new scientific ... [more] | IBISML2015-8 pp.47-54 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 13:50 |
Okinawa | Okinawa Institute of Science and Technology | Lasso Granger Causality Estimation Considering Smoothness of Causality from Time Series Data Hitoshi Abe, Jun Sakuma (Tsukuba Univ.) IBISML2015-9 |
Recently, various services for real world problems continually produce huge amount of time series data. Determination of... [more] | IBISML2015-9 pp.55-62 |
| IBISML | 2014-11-17 17:00 |
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 pp.95-102 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 17:00 |
Ibaraki | Analysing the Fairness of Fairness-aware Classifiers Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) PRMU2014-47 IBISML2014-28 |
Calders and Verwer's two-naive-Bayes is one of fairness-aware classifiers, which classify objects while excluding the in... [more] | PRMU2014-47 IBISML2014-28 pp.85-92 |
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| PRMU, IBISML, IPSJ-CVIM [detail] | 2014-09-01 17:30 |
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 pp.93-100 |
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| EMCJ | 2014-07-10 14:20 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Reliability Evaluation of ECG Signal Transmitted by IR-Based Human Body Communication Taku Kato, Jun Sakuma, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-20 |
Real-time vital data monitoring system for driver’s health condition attracts much attention in intelligent transportati... [more] | EMCJ2014-20 pp.19-24 |
| PRMU, MI, IE, SIP | 2014-05-23 13:40 |
Aichi | [Special Talk]
Privacy Protection in Data Analytics
-- Towards Application Development for Complex Event Sensing and Healthcare Services -- Jun Sakuma (Univ. of Tsukuba) SIP2014-18 IE2014-18 PRMU2014-18 MI2014-18 |
Advanced integration of big data are expected to bring about innovative services. Along with the ICT services that pene... [more] |
SIP2014-18 IE2014-18 PRMU2014-18 MI2014-18 p.97 |
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| EMCJ | 2014-04-18 15:25 |
Toyama | Univ. Toyama | Real-Time ECG Signal Transmission by Human Body Communication and Common Mode Noise Reduction in ECG Signal Jun Sakuma, Takuya Fujiwara, Taku Kato, Daisuke Anzai, Jianqing Wang (Nagoya Inst. of Tech.) EMCJ2014-6 |
Real-time vital data monitoring systems for driver’s health condition have drawn considerable attention in intelligent t... [more] | EMCJ2014-6 pp.31-36 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Query auditing for privacy preserving similarity search Hiromi Arai (RIKEN), Koji Tsuda (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-46 |
In this paper, we propose a query auditing method for similarity searches that examines whether database responces satis... [more] | IBISML2013-46 pp.77-83 |
| IBISML | 2013-07-18 11:05 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Online learning from Crowds Tran Quang Khai, Jun Sakuma (Univ. of Tsukuba) IBISML2013-4 |
In our paper, we propose an online learning algorithm for classification problems using crowdsourcing services. By using... [more] | IBISML2013-4 pp.19-26 |
| IBISML | 2013-07-18 13:50 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | An improvement of a Neutrality Term in an Information-neutral Recommender System Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-7 |
Information-neutral recommender systems aim to make recommendations whose neutrality from the specified viewpoint is gua... [more] | IBISML2013-7 pp.43-50 |
| IBISML | 2013-07-18 14:45 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Pairwise Co-link Propagation Kernel Satoshi Hasegawa, Jun Sakuma (Univ. of Tsukuba) IBISML2013-9 |
We propose a novel pairwise kernel that combines node feature kernels and link structure kernels for pairwise classific... [more] |
IBISML2013-9 pp.59-66 |
| IBISML | 2013-07-18 15:10 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Privacy-preserving Online Logistic Regression Based on Homomorphic Encryption Shuang Wu, Junpei Kawamoto (Univ. of Tsukuba), Hiroaki Kikuchi (Meiji Univ.), Jun Sakuma (Univ. of Tsukuba) IBISML2013-10 |
Preserve the privacy of personal information when conducting statistical analysis has attracted much attention in machin... [more] | IBISML2013-10 pp.67-74 |
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