Mon, Jun 20 AM Opening
Chair: Kenji Yamanishi
10:00 - |
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10:00-10:05 |
Opening ( 5 min. ) |
Mon, Jun 20 AM Dimensionality reduction and subspaces
10:05 - 11:35 |
| (1) |
10:05-10:35 |
Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis |
Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) |
| (2) |
10:35-11:05 |
On the Convergence of Convex Tensor Estimation |
Ryota Tomioka, Taiji Suzuki (Univ. Tokyo), Kohei Hayashi (NAIST), Hisashi Kashima (Univ. Tokyo) |
| (3) |
11:05-11:35 |
SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity |
Gang Niu (Tokyo Inst. of Tech.), Bo Dai (Chinese Academy Of Sciences), Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) |
| |
11:35-13:00 |
Break ( 85 min. ) |
Mon, Jun 20 PM Award Ceremony
Chair: Masashi Sugiyama
13:00 - 13:00 |
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13:00-13:15 |
IBISML Best Paper Award Ceremony ( 15 min. ) |
Mon, Jun 20 PM Invited talk
Chair: Masashi Sugiyama
13:15 - 14:15 |
| (4) |
13:15-14:15 |
[Invited Talk]
Privacy Research Meets Machine Learning |
Jun Sakuma (Tsukuba Univ) |
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14:15-14:30 |
Break ( 15 min. ) |
Mon, Jun 20 PM Structure learning
Chair: Tsuyoshi Ide
14:30 - 16:00 |
| (5) |
14:30-15:00 |
Network Change Detection with Its Applications to Advertisement Impact Relation Analysis |
Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) |
| (6) |
15:00-15:30 |
A Generalized Version of the Bayesian Chow-Liu Algorithms |
Joe Suzuki (Osaka Univ.) |
| (7) |
15:30-16:00 |
Estimation of Squared-loss Mutual Information from Paired and Unpaired Samples |
Marthinus Christoffel du Plessis, Makoto Yamada, Masashi Sugiyama (Tokyo Inst. of Tech.) |
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16:00-16:15 |
Break ( 15 min. ) |
Mon, Jun 20 PM Compression and code
Chair: Kenji Fukumizu
16:15 - 17:45 |
| (8) |
16:15-16:45 |
Efficient Computation of Re-Normalized Maximum Likelihood Coding for Gaussian Mixtures with Its Applications to Optimal Clustering |
So Hirai, Kenji Yamanishi (Univ. of Tokyo) |
| (9) |
16:45-17:15 |
Efficient Algorithms for Universal Portfolio defined by Markov Models |
Mariko Tsurusaki, Jun'ichi Takeuchi (Kyushu Univ.) |
| (10) |
17:15-17:45 |
Fast Similarity Search of Binary Codes with Wavelet Tree |
Yasuo Tabei (JST), Koji Tsuda (CBRC) |
Tue, Jun 21 AM Physical approaches
Chair: Hisashi Kashima
10:00 - 11:30 |
| (11) |
10:00-10:30 |
Rare Event Sampling using Multicanonical Monte Carlo and its Application for Generating Surrogate Data |
Yukito Iba (ISM) |
| (12) |
10:30-11:00 |
Statistical Mechanical Analysis of Adaptive Signal Processing |
Seiji Miyoshi, Yoshinobu Kajikawa (Kansai Univ.) |
| (13) |
11:00-11:30 |
Quantum annealing for Infinite Mixture Models |
Issei Sato (Tokyo Univ.), Kenichi Kurihara (Google), Shu Tanaka, Seiji Miyashita, Hiroshi Nakagawa (Tokyo Univ.) |
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11:30-13:00 |
Break ( 90 min. ) |
Tue, Jun 21 PM Invited talk
Chair: Kenji Yamanishi
13:00 - 14:00 |
| (14) |
13:00-14:00 |
[Invited Talk]
-
-- - -- |
Taketoshi Mori (U. Tokyo) |
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14:00-14:15 |
Break ( 15 min. ) |
Tue, Jun 21 PM Reinforcement learning
Chair: Hisashi Kashima
14:15 - 14:45 |
| (15) |
14:15-14:45 |
Analysis and Improvement of Policy Gradient Estimation |
Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama (Tokyo Inst. of Tech.) |
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14:45-14:50 |
Break ( 5 min. ) |
Tue, Jun 21 PM Latent variable models
Chair: Naonori Ueda
14:50 - 15:50 |
| (16) |
14:50-15:20 |
Constructing Dirichlet Forest Priors for Logically Constrained Topic Models |
Hayato Kobayashi, Hiromi Wakaki, Tomohiro Yamasaki, Masaru Suzuki (Toshiba) |
| (17) |
15:20-15:50 |
Bayesian State Estimation and its Accuracy Analysis on Hidden Markov Models |
Keisuke Yamazaki (Tokyo Tech) |
| |
15:50-16:05 |
Break ( 15 min. ) |
Tue, Jun 21 PM Langrage processing
Chair: Kenji Yamanishi
16:05 - 16:35 |
| (18) |
16:05-16:35 |
An Interpretation of "the Mechanism of Meaning" by ARAKAWA+GINS (2)
-- An Interview with ARAKAWA: Architecture to Generate Human Consiousness -- |
Kimiaki Tokumaru (System Engineer) |