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Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML)
Chair: Kenji Yamanishi (Univ. of Tokyo) Vice Chair: Naonori Ueda (NTT), Tomoyuki Higuchi (ISM)
Secretary: Masashi Sugiyama (Tokyo Inst. of Tech.), Tsuyoshi Ide (IBM)
Assistant: Daichi Mochihashi (ISM), Shigeyuki Ohba (Kyoto Univ.)

DATE:
Mon, Mar 12, 2012 10:00 - 17:45
Tue, Mar 13, 2012 10:00 - 17:45

PLACE:
The Institute of Statistical Mathematics, Auditorium(10-3 Midori-cho, Tachikawa, Tokyo, Japan. 10 minutes' walk from "Takamatsu" station of Tama monorail.http://www.ism.ac.jp/access/index_e.html. +81-50-5533-8500)

TOPICS:
Mathematical Statistics, Databases, etc.

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Mon, Mar 12 AM Bayesian Models (10:00 - 12:15)
Chair: Daichi Mochihashi (ISM)
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(1) 10:00 - 10:25
Chance Adjusted Infinite Relational Model for Asymmetric and Individually Different Relational Data Analysis
Iku Ohama, Hiromi Iida (Panasonic), Takuya Kida, Hiroki Arimura (Hokkaido Univ.)

(2) 10:25 - 10:50
Bayesian Network Structure Estimation based on the Bayesian/MDL Criteria when both Discrete and Continuous Variables are Present
Joe Suzuki (Osaka Univ.)

(3) 10:50 - 11:15
Detecting Latent Structural Changes via Latent Dirichlet Allocation
Masashi Ueda, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo), Katsuhiko Ishiguro, Hiroshi Sawada, Naonori Ueda (NTT)

----- Break ( 10 min. ) -----

(4) 11:25 - 11:50
Fully Bayesian speaker clustering based on hierarchical structured Dirichlet process mixture model
Naohiro Tawara, Tetsuji Ogawa (Waseda Univ.), Shinji Watanabe (NTT/MERL), Atsushi Nakamura (NTT), Tetsunori Kobayashi (Waseda Univ.)

(5) 11:50 - 12:15
Hyperparameter Selection of Infinite Gaussian Mixture Model via Widely Applicable Information Criterion
Takushi Miki, Masahiro Kohjima, Sumio Watanabe (titech)

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Mon, Mar 12 PM Invited Talk (Data mining) (13:30 - 14:30)
Chair: Tsuyoshi Ide (IBM Japan)
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(6) 13:30 - 14:30
[Invited Talk]
Subsequence data mining revisited
Shin Ando (Gunma Univ.)

----- Break ( 10 min. ) -----

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Mon, Mar 12 PM Reinforcement Learning (14:40 - 16:20)
Chair: Masashi Sugiyama (Tokyo Institute of Technology)
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(7) 14:40 - 15:05
Kernel Bellman Equations in POMDPs
Yu Nishiyama (ISM), Abdeslam Boularias (MPI), Arthur Gretton (UCL), Kenji Fukumizu (ISM)

(8) 15:05 - 15:30
Model Selection of Indirect Value Function Estimation
Masahiro Kohjima (Tokyo Tech)

(9) 15:30 - 15:55
Apprenticeship Learning for Model Parameters of Partially Observable Environments
Takaki Makino (Univ. of Tokyo), Johane Takeuchi (HRI-JP)

(10) 15:55 - 16:20
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration
Tingting Zhao, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.)

----- Break ( 10 min. ) -----

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Mon, Mar 12 PM Time series analysis (16:30 - 17:45)
Chair: Shigeyuki Oba (Kyoto University)
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(11) 16:30 - 16:55
Canonical Multiple Sequence Alignment for High-dimensional Multiple Time-series Analysis
Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (ATR)

(12) 16:55 - 17:20
Heterogeneous Time Series Clustering based on Infinite-Length Model Distance
Shunsuke Hirose, Katsuyuki Izumi (SAS)

(13) 17:20 - 17:45
Detecting Long-term Trending Topics in Social Networks
Shota Saito, Ryota Tomioka, Kenji Yamanishi (The Univ. of Tokyo)

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Tue, Mar 13 AM Statistical Mathematics (10:00 - 10:50)
Chair: Kei Kobayashi (ISM)
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(14) 10:00 - 10:25
On d-consistency for high-dimensional discrimination analysis
Takanori Ayano (Osaka Univ.)

(15) 10:25 - 10:50
An Accuracy Analysis of Bayes Latent Variable Estimation with Redundant Variables
Keisuke Yamazaki (Tokyo Inst. of Tech.)

----- Break ( 10 min. ) -----

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Tue, Mar 13 AM Learning Methods (11:00 - 11:50)
Chair: Kei Kobayashi (ISM)
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(16) 11:00 - 11:25
A Study on Decision Boundary Stability in Active Learning with Support Vector Machine
Takeru Takahashi, Yuji Waizumi, Kazuo Hashimoto (Tohoku Univ.)

(17) 11:25 - 11:50
Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching
Marthinus Christoffel du Plessis, Masashi Sugiyama (Tokyo Inst. of Tech.)

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Tue, Mar 13 PM Invited Talk (Statistical Mathematics) (13:30 - 14:30)
Chair: Daichi Mochihashi (ISM)
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(18) 13:30 - 14:30
[Invited Talk]
Asymptotic estimation theory and Information geometry via computational algebra
Kei Kobayashi (ISM)

----- Break ( 10 min. ) -----

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Tue, Mar 13 PM Matrix factorization and applications (14:40 - 15:30)
Chair: Toshihiro Kamishima (AIST)
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(19) 14:40 - 15:05
Matrix and Tensor Factorization with Aggregated Observations
Yoshifumi Aimoto, Hisashi Kashima (Univ. of Tokyo)

(20) 15:05 - 15:30
A Method for Packet Loss Rate Estimation Using Active and Passive Measurements
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda (NAIST)

----- Break ( 10 min. ) -----

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Tue, Mar 13 PM Active learning, Mutual information, ane else (15:40 - 17:45)
Chair: Daichi Mochihashi (ISM)
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(21) 15:40 - 16:05
Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression
Nozomi Kurihara, Masashi Sugiyama (Tokyo Inst. of Tech.)

(22) 16:05 - 16:30
Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier
Tsubasa Kobayashi, Masashi Sugiyama (Tokyo Inst. of Tech.)

(23) 16:30 - 16:55
Feature Selection via L1-Penalized Squared-Loss Mutual Information
Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.)

(24) 16:55 - 17:20
Squared-loss Mutual Information Regularization
Gang Niu, Wittawat Jitkrittum, Hirotaka Hachiya (Tokyo Inst. of Tech.), Bo Dai (Purdue Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.)

(25) 17:20 - 17:45
The Information-Based Inductive Sciences and Biological Learning
-- The Quantum Mechanism of Concept (Digital Linguistics) --
Kimiaki Tokumaru (System Engineer)

# Information for speakers
General Talk will have 20 minutes for presentation and 5 minutes for discussion.


=== Technical Committee on Infomation-Based Induction Sciences and Machine Learning (IBISML) ===


Last modified: 2012-03-13 09:40:43


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