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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) [schedule] [select]
Chair Kenji Fukumizu (ISM)
Vice Chair Masashi Sugiyama (Univ. of Tokyo), Hisashi Kashima (Kyoto Univ.)
Secretary Ichiro Takeuchi (Nagoya Inst. of Tech.), Koji Tsuda (Univ. of Tokyo)
Assistant Tomoharu Iwata (NTT), Toshihiro Kamishima (AIST)

Conference Date Wed, Nov 8, 2017
Thu, Nov 9, 2017 13:00 - 15:30
Fri, Nov 10, 2017 13:00 - 15:30
Topics Information-Based Induction Science Workshop (IBIS2017) 
Conference Place Hongo Campus, Univ. of Tokyo 
Address 7-chome, Hongo, Bunkyo-ku, Tokyo, 113-8654 Japan
Transportation Guide http://www.u-tokyo.ac.jp/en/about/access.html
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)

Thu, Nov 9 PM 
13:00 - 15:30
(1) 13:00-15:30 IBISML2017-35
(2) 13:00-15:30 [Poster Presentation]
Extraction of Distribtion Changes using On-line t-SNE IBISML2017-36
Daisuke Kaji (Denso), Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.)
(3) 13:00-15:30 Calculation method for grid-structured markov random field using corner transfer matrix renormalization group IBISML2017-37 Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.)
(4) 13:00-15:30 [Poster Presentation]
Real Log Canonical Threshold of Stochastic Matrix Factorization and its Application to Bayesian Learning IBISML2017-38
Naoki Hayashi, Sumio Watanabe (TokyoTech)
(5) 13:00-15:30 [Poster Presentation]
Empirical Bayesian Tree IBISML2017-39
Masashi Sekino (SMN)
(6) 13:00-15:30 Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning IBISML2017-40 Tomoya Sakai, Gang Niu (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo)
(7) 13:00-15:30 Application of Transfer Learning to Smallscale Data and Its Evaluation Using Open Datasets IBISML2017-41 Arika Fukushima, Toru Yano, Shuuichiro Imahara, Hideyuki Aisu (Toshiba)
(8) 13:00-15:30 [Poster Presentation]
Evaluation of Machine Learning Methods for Anomaly Detection Using New Kyoto2006+ Dataset IBISML2017-42
Hisashi Takahara (UNP)
(9) 13:00-15:30 [Poster Presentation]
Material search for Li-ion battery electrolytes by exhaustive search with Gaussian Process modeling IBISML2017-43
Tomofumi Nakayama (Univ. Tokyo), Yasuhiko Igarashi, Keitaro Sodeyama (NIMS), Masato Okada (Univ. Tokyo)
(10) 13:00-15:30 [Poster Presentation]
Post Clustering Inference for Heterogeneous Data IBISML2017-44
Shigenori Inoue, Yuta Umezu (NIT), Shoma Tsubota (Nagoya Univ.), Ichiro Takeuchi (NIT/RIKEN/NIMS)
(11) 13:00-15:30 Robust one dimensional phase unwrapping using Markov random fields IBISML2017-45 Yasuhisa Nakashima (Univ. Tokyo), Yasuhiko Igarashi (JST), Yasushi Naruse (NICT), Masato Okada (Univ. Tokyo)
(12) 13:00-15:30 Regression Method for Noisy Inputs based on Naradaya-Watson Estimator constructed from Noiseless Training Data IBISML2017-46 Ryo Hanafusa, Takeshi Okadome (Kwansei Gakuin Univ.)
(13) 13:00-15:30 Online Optimization Method for Generalized $ell_1$ Regularized Problems IBISML2017-47 Yoshihiro Nakazato, Kazuto Fukuchi (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./Riken/JST)
(14) 13:00-15:30 IBISML2017-48
(15) 13:00-15:30 Hidden Semi-Markov Model Representing State Overlap for Multiple Sequential Data Input IBISML2017-49 Hiromi Narimatsu, Hiroyuki Kasai (UEC)
(16) 13:00-15:30 Quantum inspired Machine Learning through Entanglement Entropy IBISML2017-50 Masaru Tanaka (Fukuoka UNiv.)
(17) 13:00-15:30 Nonconvex Sparse Optimization with Submodularity IBISML2017-51 Naoki Marumo, Tomoharu Iwata (NTT)
(18) 13:00-15:30 Regularization of learning prameters in posterior mean estimate approximation in CS-SENSE method IBISML2017-52 Ken Harada, Masato Inoue (Waseda Univ.), Kaori Togashi (Kyoto Univ.)
(19) 13:00-15:30 Consequently Fair Contextual Bandit Learning IBISML2017-53 Kazuto Fukuchi (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST/RIKEN)
(20) 13:00-15:30 IBISML2017-54
(21) 13:00-15:30 Evaluation of KL-divergence between Gaussian process posteriors by finite dimensional normal distributions IBISML2017-55 Hideaki Ishibashi, Tetsuo Furukawa (Kyutech), Shotaro Akaho (AIST)
(22) 13:00-15:30 Clinical Decision Support System based on Co-occurrence Analysis of Disease Names
-- Utilization of Clinical Big Text Data by Artificial Intelligence --
IBISML2017-56
Ken Yano, Eiji Aramaki (NAIST)
(23) 13:00-15:30 Efficient modal regression using gradient ascent and descent method IBISML2017-57 Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.)
(24) 13:00-15:30 [Poster Presentation]
Learning huge Bayesian networks using RAI algorithm based on Bayes factor IBISML2017-58
Kazuki Natori, Masaki Uto, Maomi Ueno (UEC)
(25) 13:00-15:30 Bayesian nonparametric model for uncountable factor analysis IBISML2017-59 Masahiro Nakano (NTT), Daichi Mochihashi, Tomoko Matsui (ISM), Kunio Kashino (NTT)
(26) 13:00-15:30 Fast Computation of Lower Bounds for Privacy Evaluations, Based on Binary Decision Diagrams IBISML2017-60 Shogo Takeuchi (Univ. of Tokyo), Kosuke Kusano, Jun Sakuma (Univ. of Tsukuba), Koji Tsuda (Univ. of Tokyo)
(27) 13:00-15:30 IBISML2017-72
Fri, Nov 10 PM 
13:00 - 15:30
(28) 13:00-15:30 Analysis of Dropout in online learning IBISML2017-61 Kazuyuki Hara (Nihon Univ.)
(29) 13:00-15:30 [Poster Presentation]
Binary Classification from Positive-Confidence Data IBISML2017-62
Takashi Ishida (SMAM/UTokyo/RIKEN), Gang Niu (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo)
(30) 13:00-15:30 Rotated Image Recognition by Continuous execution of Angle Estimation Using a Feature Map with CNN IBISML2017-63 Nishiki Katayama, Satoshi Yamane (Kanazawa Univ.)
(31) 13:00-15:30 Safe Screening for Large Margin Metric Learning IBISML2017-64 Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST)
(32) 13:00-15:30 Convolutional Neural Network with Entanglement Entropy IBISML2017-65 Shu Eguchi, Masaru Tanaka (Fukuoka Univ.)
(33) 13:00-15:30 [Poster Presentation]
Multi-Task Learning with Positive and Unlabeled Data and Its Application to Mental State Prediction IBISML2017-66
Hirotaka Kaji, Hayato Yamaguchi (Toyota Motor), Masashi Sugiyama (RIKEN/UTokyo)
(34) 13:00-15:30 Hierarchical Reinforcement Learning Based on Return-Weighted Density Estimation IBISML2017-67 Takayuki Osa (UTokyo/RIKEN), Masashi Sugiyama (RIKEN/UTokyo)
(35) 13:00-15:30 [Poster Presentation]
Improvement of learning method with convolutional restricted Boltzmann machine based on PCD IBISML2017-68
Ryosuke Ishi, Reiki Suda, Koujin Takeda (Ibaraki Univ.)
(36) 13:00-15:30 [Poster Presentation]
Bin width optimization of multidimensional histogram on count data IBISML2017-69
Kensuke Muto, Hirotaka Sakamoto, Keisuke Matsuura, Takahisa Arima, Masato Okada (Tokyo Univ.)
(37) 13:00-15:30 [Poster Presentation]
Nonlinear parametric model based on power law for tsunami height prediction IBISML2017-70
Masashi Yoshikawa (UT), Yasuhiko Igarashi (JST), Shin Murata (UT), Toshitaka Baba (TU), Takane Hori (JAMSTEC), Masato Okada (UT)
(38) 13:00-15:30 [Poster Presentation]
Selective Inference for Change Point Detection in Multidimensional Sequence IBISML2017-71
Yuta Umezu (Nitech), Ichiro Takeuchi (Nitech/RIKEN/NIMS)
(39) 13:00-15:30 Compressed Sensing CT image reconstruction using Bayesian Optimization for mixing multiple image priors IBISML2017-73 Tomonori Suga, Masato Inoue (Waseda Univ.)
(40) 13:00-15:30 [Poster Presentation]
Correcting selection bias in active learning based on selective inference framework IBISML2017-74
Yu Inatsu (RIKEN), Ichiro Takeuchi (Nitech/RIKEN/NIMS)
(41) 13:00-15:30 [Poster Presentation]
Variational Bayes method for matrix factorization to two sparse factorized matrices IBISML2017-75
Tomoki Tamai, Koujin Takeda (Ibaraki Univ.)
(42) 13:00-15:30 Estimation of Training Data Distribution from Probabilistic Classifier using Generative Adversarial Networks IBISML2017-76 Kosuke Kusano, Jun Sakuma (Univ. Tsukuba)
(43) 13:00-15:30 A solution to the inverse Ising problem in tree-reweighted approximation IBISML2017-77 Takashi Sano (AIST)
(44) 13:00-15:30 Feature Extraction Using Empirical Mode Decomposition for Tire Sensing IBISML2017-78 Keita Ishii, Takato Goto (BS), Matsui Tomoko (ISM), Gareth Peters (HW), Nourddine Azzaoui (UCA)
(45) 13:00-15:30 [Poster Presentation]
Nearest Neighbor-based Anomaly Detection using Generative Adversarial Networks IBISML2017-79
Yoshiyuki Tajima (Hitachi)
(46) 13:00-15:30 [Poster Presentation]
Proposal of λ-scan Method in Spectral Deconvolution IBISML2017-80
Yohachi Mototake (Univ of Tokyo), Yasuhiko Igarashi (NIMS), Hikaru Takenaka (Univ of Tokyo), Kenji Nagata (AIST), Masato Okada (Univ of Tokyo)
(47) 13:00-15:30 Approximated hyperparameter distribution estimation using Gaussian process and Bayesian optimization IBISML2017-81 Shun Katakami, Hirotaka Sakamoto, Masato Okada (UTokyo)
(48) 13:00-15:30 Good Arm Identification via Bandit Feedback IBISML2017-82 Hideaki Kano, Junya Honda (UTokyo/RIKEN), Kentaro Sakamaki (UTokyo), Kentaro Matsuura (Johnson & Johnson), Atsuyoshi Nakamura (HU), Masashi Sugiyama (RIKEN/UTokyo)
(49) 13:00-15:30 Statistical Mechanical Analysis of Learning with Two-Layer Perceptron with Multiple Output Units
-- Reconsidering Plateau Phenomenon --
IBISML2017-83
Yuki Yoshida (UTokyo), Ryo Karakida (AIST), Masato Okada (UTokyo/AIST/RIKEN BSI), Shun-ichi Amari (RIKEN BSI)
(50) 13:00-15:30 Active Learning based on Submodular Optimization Considering Label Expansion IBISML2017-84 Masanari Kimura, Kei Wakabayashi (Tsukuba Univ.)
(51) 13:00-15:30 IBISML2017-85
(52) 13:00-15:30 [Poster Presentation]
Effect of maximum likelihood estimation after L1 regularization in learning of log-linear models IBISML2017-86
Kazuya Takabatake, Shotaro Akaho (AIST)
(53) 13:00-15:30 The Classification Problem in Generalized Label Noise Model IBISML2017-87 Tota Suko, Shunsuke Horii (Waseda Univ)
(54) 13:00-15:30 [Poster Presentation]
Structure Learning of Graph Product Multilayer Network-shaped Gaussian Markov Random Fields IBISML2017-88
Yuya Takashina, Masato Inoue (Waseda Univ.)
(55) 13:00-15:30 [Poster Presentation]
Learning Algorithm in Molecular Adaptation IBISML2017-89
Nobuyuki Takahashi (Hokkaido Univ. of Education, Hakodate)

Announcement for Speakers
Poster PresentationEach speech will have 150 minutes for presentation.

Contact Address and Latest Schedule Information
IBISML Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)   [Latest Schedule]
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Last modified: 2017-10-24 21:04:46


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