| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML | 2017-03-06 17:00 |
Tokyo | Tokyo Institute of Technology | Recurrent Neural Networks for task-evoked fMRI data classification Koya Ohashi (Tokyo Tech), Taiji Suzuki (Tokyo Tech/JST/RIKEN)  IBISML2016-104 |
We consider a classification problem in which the task that a subject is performing is identified from the brain activit... [more] | IBISML2016-104 pp.33-40 |
| IBISML | 2017-03-07 10:30 |
Tokyo | Tokyo Institute of Technology | Doubly Accelerated Stochastic Variance Reduced Gradient Method for Regularized Empirical Risk Minimization Tomoya Murata, Taiji Suzuki (Tokyo Tech) IBISML2016-106 |
We develop a new stochastic gradient method for solving convex regularized empirical risk minimization problem in mini-b... [more] | IBISML2016-106 pp.49-56 |
| IBISML | 2017-03-07 11:30 |
Tokyo | Tokyo Institute of Technology | A stochastic optimization method and generalization bounds for voting classifiers by continuous density functions Atsushi Nitanda (Tokyo Tech./NTTDATA MSI), Taiji Suzuki (Tokyo Tech./JST/RIKEN) IBISML2016-108 |
We consider a learning method for the majority vote classifier by probability measure on continuously parametrized space... [more] | IBISML2016-108 pp.63-69 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Stochastic Particle Gradient Descent for the Infinite Majority Vote Classifier Atsushi Nitanda, Taiji Suzuki (Tokyo Tech.) IBISML2016-79 |
We consider a learning method for the infinite majority vote classifier combined by a density on a continuous space of b... [more] | IBISML2016-79 pp.235-241 |
| IBISML | 2015-11-26 15:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Learning Structure of Partial Markov Random Field via Partitioned Ratio Song Liu (ISM), Taiji Suzuki (Tokyo Tech.), Masashi Sugiyama (UTokyo), Kenji Fukumizu (ISM) IBISML2015-72 |
A new concept, partitioned ratio is proposed to find the partial connectivity of the Markov random field. First we argue... [more] | IBISML2015-72 pp.147-151 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning Heishiro Kanagawa, Taiji Suzuki (Titech) IBISML2015-89 |
低ランクテンソル推定は複数のデータソース間の高次の関係性を学習する方法として，マルチタスク学習， 推薦システム，時空間解析など様々な問題に応用されている．低ランクテンソルを推定する代表的な手法として，線 形のモデルを仮定した凸最適化に基... [more] |
IBISML2015-89 pp.273-280 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Support consistency of direct sparse-change learning in Markov networks Song Liu, Taiji Suzuki (Tokyo Inst. of Tech.), Masashi Sugiyama (Univ. of Tokyo) IBISML2014-70 |
(Advance abstract in Japanese is available) [more] | IBISML2014-70 pp.263-269 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Stochastic Dual Coordinate Ascent with Alternating Direction Multiplier Method Taiji Suzuki (Tokyo Inst. of Tech.) IBISML2013-63 |
We propose a new stochastic dual coordinate ascent technique that can be applied to a wide range of regularized learni... [more] |
IBISML2013-63 pp.205-212 |
| IBISML | 2013-03-04 16:35 |
Aichi | Nagoya Institute of Technology | Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method Taiji Suzuki (Univ. of Tokyo) IBISML2012-98 |
[more] | IBISML2012-98 pp.39-46 |
| IBISML | 2012-06-20 10:30 |
Kyoto | Campus plaza Kyoto | Density Difference Estimation Masashi Sugiyama (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Marthinus Christoffel du Plessis, Song Liu (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2012-8 |
We address the problem of estimating the difference between two probability densities. A naive approach is a two-ste... [more] |
IBISML2012-8 pp.49-56 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | Relative Density-Ratio Estimation for Robust Distribution Comparison Makoto Yamada (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.), Hirotaka Hachiya, Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-46 |
Divergence estimators based on direct approximation of density-ratios without going through separate approximation of n... [more] |
IBISML2011-46 pp.25-32 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | On Fast Convergence Rate of Non-Sparse Multiple Kernel Learning and Optimal Regularization Taiji Suzuki (Tokyo University) IBISML2011-64 |
In this paper, we give a new generalization error bound of Multiple Kernel Learning (MKL) for a general class of regular... [more] | IBISML2011-64 pp.147-154 |
| IBISML | 2011-06-20 10:35 |
Tokyo | Takeda Hall | On the Convergence of Convex Tensor Estimation Ryota Tomioka, Taiji Suzuki (Univ. Tokyo), Kohei Hayashi (NAIST), Hisashi Kashima (Univ. Tokyo) IBISML2011-14 |
凸最適化に基づくテンソル分解アルゴリズムの統計的な性能について解析し，報 告する．従来テンソル分解は非凸の最適化問題として定式化され，そのため性 能の解析は困難であった．本論文では，ある条件のもとで，推定されたテンソ ルを$\h... [more] |
IBISML2011-14 pp.97-102 |
| IBISML | 2011-03-29 15:10 |
Osaka | Nakanoshima Center, Osaka Univ. | Statistical Analysis of Kernel-based Density Ratio Estimation Takafumi Kanamori (Nagoya Univ.), Taiji Suzuki (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech) IBISML2010-110 |
(Advance abstract in Japanese is available) [more] | IBISML2010-110 pp.41-48 |
| IBISML | 2011-03-29 16:30 |
Osaka | Nakanoshima Center, Osaka Univ. | Fast Convergence Rate of Multiple Kernel Learning with Elastic-net Regularization Taiji Suzuki, Ryota Tomioka (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-126 |
We investigate the learning rate of multiple kernel leaning (MKL) with elastic-net regularization, which consists of a... [more] |
IBISML2010-126 pp.153-160 |
| IBISML | 2010-11-04 15:00 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
A Unified Framework of Density Ratio Estimation under Bregman Divergence Masashi Sugiyama (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Takafumi Kanamori (Nagoya Univ.) IBISML2010-64 |
Estimation of the ratio of probability densities has attracted a great deal of attention since it can be used for addre... [more] |
IBISML2010-64 pp.33-44 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
Regularization Strategies and Empirical Bayesian Learning for MKL Ryota Tomioka, Taiji Suzuki (Univ. of Tokyo) IBISML2010-100 |
Multiple kernel learning (MKL) has received considerable attention recently. In this paper, we show how different MKL al... [more] | IBISML2010-100 pp.303-310 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 10:00 |
Fukuoka | Fukuoka Univ. | A Density Ratio Approach to Two-Sample Test Masashi Sugiyama (Tokyo Inst. of Tech.), Taiji Suzuki (Univ. of Tokyo), Yuta Itoh (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Manabu Kimura (Tokyo Inst. of Tech.) PRMU2010-76 IBISML2010-48 |
The goal of the two-sample test (a.k.a. the homogeneity test) is, given two sets of samples, to judge whether the prob... [more] |
PRMU2010-76 IBISML2010-48 pp.149-156 |
| PRMU | 2009-08-31 14:40 |
Miyagi | Tohoku Univ. | [Special Talk]
Optimization algorithms for sparse regularization and multiple kernel learning and their applications to CV/PR Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama (Univ. of Tokyo.) PRMU2009-63 |
Convex sparse regularization is increasingly becoming recognized as a principled framework for selecting informative fe... [more] |
PRMU2009-63 pp.43-48 |
| NC, MBE (Joint) |
2009-03-12 15:40 |
Tokyo | Tamagawa Univ. | Independent Component Analysis by Direct Density-Ratio Estimation Taiji Suzuki (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) NC2008-136 |
Accurately evaluating statistical independence among random variables is a key component of Independent Component Anal... [more] |
NC2008-136 pp.195-199 |
[Return to Top Page]