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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Hisashi Kashima (Kyoto Univ.)
Vice Chair: Masashi Sugiyama (Univ. of Tokyo), Koji Tsuda (Univ. of Tokyo)
Secretary: Ichiro Takeuchi (Nagoya Inst. of Tech.), Toshihiro Kamishima (AIST)
Assistant: Tomoharu Iwata (NTT), Shigeyuki Oba (Kyoto Univ.)
DATE:
Mon, Nov 5, 2018 15:10 - 18:10
Tue, Nov 6, 2018
Wed, Nov 7, 2018
PLACE:
Hokkaido Citizens Activities Center (Kaderu 2.7)(7-chome, Kita 2-jo Nishi, Chuo-ku, Sapporo-shi, 060-0002 Japan. http://homepage.kaderu27.or.jp/index.html)
TOPICS:
Information-Based Induction Science Workshop (IBIS2018)
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Mon, Nov 5 PM (15:10 - 18:10)
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(1) 15:10 - 18:10
[Poster Presentation]
Shin-ichiro Goto (Kyoto Univ.), Hideitsu Hino (ISM)
(2) 15:10 - 18:10
[Poster Presentation]
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning
Keisuke Horiuchi, Keisuke Kameyama (Tsukuba Univ.)
(3) 15:10 - 18:10
[Poster Presentation]
A Fast Approximation of the Nadaraya-Watson Regression with the k-Nearest Neighbor Crossover Kernel
Toshio Ito, Naoki Hamada, Kotaro Ohori, Hiroyuki Higuchi (FUJITSU LAB)
(4) 15:10 - 18:10
[Poster Presentation]
Posterior mean approximation solution combining multiple image prior distributions in MR image reconstruction
Nanako Kubota, Ken Harada (Waseda Univ.), Koji Fujimoto, Tomohisa Okada (Kyoto Univ.), Masato Inoue (Waseda Univ.)
(5) 15:10 - 18:10
[Poster Presentation]
Inference for Logitistic Regression Mixture Model with Local Variational Approximation and Study for Variational Free Energy
Fumito Nakamura, Ryosuke Konishi (Generic Solution), Yasushi Kiyoki (Keio)
(6) 15:10 - 18:10
(See Japanese page.)
(7) 15:10 - 18:10
[Poster Presentation]
Generalized Dirichlet-Process-Means with f-Mean and Analysis of Influence Function
Masahiro Kobayashi, Kazuho Watanabe (Toyohashi Tech.)
(8) 15:10 - 18:10
[Poster Presentation]
Variational Approximation Accuracy in Non-negative Matrix Factorization
Naoki Hayashi (MSI)
(9) 15:10 - 18:10
[Poster Presentation]
Safe Screening of a Sparse KLIEP Model on Markov Network Structural Change Detection
Hiroki Sato (Gifu Univ), Motoki Shiga (Gifu Univ./JST/RIKEN), Makoto Yamada (Kyoto Univ./JST/RIKEN)
(10) 15:10 - 18:10
[Poster Presentation]
Learning Hierarchical Structure via Nearest Neighbor Search and Formal Concept Analysis
Yuka Yoneda (Osaka Univ.), Mahito Sugiyama (NII), Takashi Washio (Osaka Univ.)
(11) 15:10 - 18:10
[Poster Presentation]
Statistical Mechanical Analysis of Single-layer Perceptron with Layer Normalization
Shiro Takagi, Yuki Yoshida, Masato Okada (Tokyo Univ.)
(12) 15:10 - 18:10
[Poster Presentation]
Development of the topology-preserving image alignment based on a local deformation of kernel density function
Masataka Watajima (KIT), Sayuri Kuge, Takeshi Ishihara (KU), Yuichi Iino (UT), Ryo Yoshida (ISM), Terumasa Tokunaga (KIT)
(13) 15:10 - 18:10
[Poster Presentation]
CNN's Robustness Against Large Scale Dataset
Ryuichiro Hataya, Hideki Nakayama (UTokyo)
(14) 15:10 - 18:10
[Poster Presentation]
Crowd Navigation via Bayesian Optimization of Multi-agent Simulation
Hitoshi Shimizu, Takuma Otsuka, Tomoharu Iwata, Hiroshi Sawada, Futoshi Naya, Naonori Ueda (NTT)
(15) 15:10 - 18:10
[Poster Presentation]
Learning Restricted Boltzmann Machine via the Adaptive Thouless-Anderson-Palmer Mean-Field Approximation
Chako Takahashi (Tohoku Univ.), Muneki Yasuda (Yamagata Univ.), Kazuyuki Tanaka (Tohoku Univ.)
(16) 15:10 - 18:10
[Poster Presentation]
Bayesian Optimization for Multiobjective Optimization and Multipoint Search
Takashi Wada (KSL), Hideitsu Hino (ISM)
(17) 15:10 - 18:10
[Poster Presentation]
How does the complexity of critic affect the performance of WGAN?
Akihiro Iohara, Toshiyuki Tanaka (Kyoto Univ.)
(18) 15:10 - 18:10
[Poster Presentation]
Online Prediction for Varying Bernoulli Processes by Minimax Strategy
Kenta Konagayoshi, Kazuho Watanabe (Toyohashi Tech)
(19) 15:10 - 18:10
[Poster Presentation]
Proposal of Hyperparameter Optimization Framework Using a Non-Stationary Multi-Armed Bandit Algorithm
Kenshi Abe, Masahiro Nomura (CA)
(20) 15:10 - 18:10
[Poster Presentation]
Watermarking of Neural Network with Exponential Weighting Parameters
Ryota Namba (Tsukuba Univ.), Jun Sakuma (Tsukuba Univ./riken)
(21) 15:10 - 18:10
[Poster Presentation]
Distance Metric Learning Between Graphs Based on Subgraph
Tomoki Yoshida (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN), Masayuki Karasuyama (NITech/NIMS/JST)
(22) 15:10 - 18:10
[Poster Presentation]
Discovery of Governing equations in Reproducing Kernel Hilbert space
Yosuke Otsubo (Nikon), Shinichi Nakajima (TUB/RIKEN)
(23) 15:10 - 18:10
[Poster Presentation]
Comparison between Tsunami Height Prediction Methods Using Ocean-Bottom Pressure Values
Kenjiro Kashiwabara (UTokyo), Yasuhiko Igarashi (UTokyo/NIMS/JST), Masashi Yoshikawa (UTokyo), Toshitaka Baba (Tokushima Univ.), Takane Hori (JAMSTEC), Masato Okada (UTokyo/NIMS)
(24) 15:10 - 18:10
[Poster Presentation]
On comparison of dynamical systems via Perron-Frobenius operators on reproducing kernel Hilbert spaces
Isao Ishikawa (RIKEN/Keio Univ.), Keisuke Fujii (RIKEN), Masahiro Ikeda (RIKEN/Keio Univ.), Yuka Hashimoto (Keio Univ.), Yoshinobu Kawahara (Osaka Univ/RIKEN.)
(25) 15:10 - 18:10
[Poster Presentation]
An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN)
(26) 15:10 - 18:10
[Poster Presentation]
Lattice Model Selection of Gaussian Markov Random Field
Hirosato Ito, Hirotaka Sakamoto, Shun Katakami, Masato Okada (Univ. Tokyo)
(27) 15:10 - 18:10
[Poster Presentation]
Selective Inference for Feature Selection after Hierarchical Clustering
Kenta Suzuki, Shigenori Inoue, Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN)
(28) 15:10 - 18:10
[Poster Presentation]
Estimation of Sparse Basis Representation for Non-periodic data
Shun Katakami, Hirotaka Sakamoto, Yasuhiko Igarashi, Masato Okada (Univ. Tokyo)
(29) 15:10 - 18:10
[Poster Presentation]
Statistical test for extracting discriminative patterns from trajectory data
Takuto Sakuma (NITech), Ichiro Takeuchi (NITech/NIMS/RIKEN)
(30) 15:10 - 18:10
[Poster Presentation]
Identification of Mislabeled Clinical Samples by using Iterative Discriminant Method
Yuichiro Fujita, Akira Noda (Shimadzu Corp.), Kentaro Yoshimura, Sen Takeda (Univ. of Yamanashi), Shigeki Kajihara (Shimadzu Corp.)
(31) 15:10 - 18:10
[Poster Presentation]
Analysis of matrix factorization dynamics from variational Bayes solution
Tomoki Tamai, Koujin Takeda (Ibaraki Univ.)
(32) 15:10 - 18:10
[Poster Presentation]
In-Hospital Mortality Prediction for Trauma Patients Using Cost-Sensitive MedLDA
Haruya Ishizuka, Tsukasa Ishigaki, Naoya Kobayashi, Daisuke Kudo, Atsuhiro Nakagawa (Tohoku Univ.)
(33) 15:10 - 18:10
[Poster Presentation]
Compensated Integrated Gradients for Visualization of Features Contributing to EEG Classification
Kazuki Tachikawa, Yuji Kawai, Jihoon Park, Minoru Asada (Osaka Univ.)
(34) 15:10 - 18:10
[Poster Presentation]
Realizing Large Scale Model by Integration of Stochastic Models
-- Implementation and Evaluation of Integrated Model of VAE, GMM, HMM and MLDA --
Ryo Kuniyasu, Tomoaki Nakamura, Tatsuya Aoki (UEC), Akira Taniguchi, Ryo Ozaki, Tomoro Ishimine (Ritsumeikan Univ.), Hiroki Yokoyama (Tamagawa Univ.), Tadashi Ogura (SOKENDAI), Takayuki Nagai (UEC), Tadahiro Taniguchi (Ritsumeikan Univ.)
(35) 15:10 - 18:10
[Poster Presentation]
Normal mode selection of coherent phonons by Bayesian LARS-OLS
Itsushi Sakata, Yoshihiro Nagano (UTokyo), Yasushiko Igarashi (JST), Shin Murata (UTokyo), Kohji Mizoguchi (Osaka Prefecture Univ.), Ichiro Akai (Kumamoto Univ.), Masato Okada (UTokyo)
(36) 15:10 - 18:10
[Poster Presentation]
Hyperparameter distribution estimation for binary images with the exchange Monte Carlo method
Koki Obinata, Shun Katakami, Yue Yonghao, Masato Okada (UTokyo)
(37) 15:10 - 18:10
[Poster Presentation]
Bregman monotone operator splitting and its application example
Kenta Niwa (NTT), W. Bastiaan Kleijn (VUW)
(38) 15:10 - 18:10
[Poster Presentation]
Selective Inference for Dynamic Programming-based Sequence Segmentation
Hiroki Toda, Yuta Umezu, Takuto Sakuma (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN)
(39) 15:10 - 18:10
[Poster Presentation]
Comparison of Bayes estimation and variational Bayes estimation in mixed normal distribution model
Tomofumi Nakayama, Naoki Fujii (UT), Kenji Nagata (AIST/JST PRESTO), Masato Okada (UT)
(40) 15:10 - 18:10
[Poster Presentation]
Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks
Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.)
(41) 15:10 - 18:10
[Poster Presentation]
Asymptotic Evaluation of Classification in the Presence of Generalized Label Noise
Goki Yasuda, Tota Suko, Manabu Kobayashi, Toshiyasu Matsushima (Waseda Univ.)
(42) 15:10 - 18:10
[Poster Presentation]
Detecting Unlabeled Class by Intentional Clustering using Disentangled Representation
Tomoki Fukuma, Fuijo Toriumi (Tokyo Univ.)
(43) 15:10 - 18:10
[Poster Presentation]
Differential Privacy for Likelihood Ratio Test
Arashi Haishima (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/RIKEN)
(44) 15:10 - 18:10
(See Japanese page.)
(45) 15:10 - 18:10
[Poster Presentation]
Regularized Modal Regression via Iteratively Reweighted Least-Squares
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.)
(46) 15:10 - 18:10
[Poster Presentation]
Bayesian Hamiltonian Selection in X-ray Photoelectron Spectroscopy
Yoh-ichi Mototake (univ of Tokyo), Masaichiro Mizumaki (JASRI), Ichiro Akai (Kumamoto Univ), Masato Okada (univ of Tokyo)
(47) 15:10 - 18:10
[Poster Presentation]
Tensor decomposition based unsupervised feature extraction applied to bioinformatics
Y-h. Taguchi (Chuo Univ.)
(48) 15:10 - 18:10
[Poster Presentation]
Algorithms for Checking Existence of a Bad Arm Utilizing Asymmetry
Koji Tabata, Atsuyoshi Nakamura, Tamiki Komatsuzaki (Hokkaido Univ.)
(49) 15:10 - 18:10
[Poster Presentation]
Classification Algorithms for Generalized Label Noise Model with Unknown Parameter
Tota Suko, Goki Yasuda, Shunsuke Horii, Manabu Kobayashi (Waseda Univ)
(50) 15:10 - 18:10
[Poster Presentation]
Analysis of Empirical Bayes Estimation for Three Parameter Group Lasso
Tsukasa Yoshida, Kazuho Watanabe (Toyohashi Tech)
(51) 15:10 - 18:10
[Poster Presentation]
Active learning for identifying local minimum points based on the derivative of Gaussian process
Yu Inatsu (RIKEN), Daisuke Sugita (NITech), Kazuaki Toyoura (Kyoto Univ.), Ichiro Takeuchi (NITech/RIKEN/NIMS)
(52) 15:10 - 18:10
[Poster Presentation]
Active Learning in Sparse Linear Regression Models via Selective Inference
Yuta Umezu (NIT), Ichiro Takeuchi (NIT/NIMS/RIKEN)
(53) 15:10 - 18:10
[Poster Presentation]
Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple
Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Junichi Takeuchi (Kyushu Univ.)
(54) 15:10 - 18:10
[Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory
Shunsuke Horii, Tota Suko (Waseda Univ.)
(55) 15:10 - 18:10
[Poster Presentation]
Sparse modeling of extended X-ray absorption fine structures (EXAFS) through Bayesian LARS-OLS
Yasuhiko Igarashi (JST), Kazunori Iwamitsu (Kumamoto U.), Toshihiro Okajima (Kyushu LRC), Ichiro Akai (Kumamoto U.), Masato Okada (Univ. Tokyo)
(56) 15:10 - 18:10
[Poster Presentation]
3D-Skeleton-Based Human Action Recognition with a Combination of Random Convolutional Networks and Echo State Networks
Zhiqiang Tong, Gouhei Tanaka (Univ. of Tokyo)
(57) 15:10 - 18:10
[Poster Presentation]
A Self-Organization Model Developing Higher Order Units by Self-Test Learning
Akira Date, Shunsuke Hanai (Univ. of Miyazaki)
(58) 15:10 - 18:10
[Poster Presentation]
Transfer Learning Among Time Series Data
Hao Niu, Kei Yonekawa, Mori Kurokawa, Arei Kobayashi (KDDI Research)
(59) 15:10 - 18:10
[Poster Presentation]
Revising the Algorithm of Ensenble Learning by an Index of Complementarity among Weak Learners
Shota Utsumi, Keisuke Kameyama (Univ. of Tsukuba)
(60) 15:10 - 18:10
[Poster Presentation]
Kei Yonekawa, Hao Niu, Mori Kurokawa, Arei Kobayashi (KDDI Research)
(61) 15:10 - 18:10
[Poster Presentation]
Conservation law presumption from the manifold structure captured by Deep Neural Networks
-- Estimation of conservation law via noether's theorem from symmetry information of manifolds --
You-ichi Mototake (univ of Tokyo)
# Information for speakers
Poster Presentation will have 180 minutes for presentation.
=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===
Last modified: 2018-10-18 10:30:42
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