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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IT 2016-12-13
15:50
Gifu Takayama Green Hotel [Invited Talk] Bregman Divergence and its Applications
Takafumi Kanamori (Nagoya Univ.) IT2016-44
In statistical inference and machine learning, Bregman divergences are often used. This paper shows applications of Breg... [more] IT2016-44
pp.15-20
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Robustification of Learning Algorithms using Hinge-loss
Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara (TopGate), Akiko Takeda (Univ. of Tokyo) IBISML2015-71
We propose a unified formation of robust learning methods for classification and regression problems.
In the learnin... [more]
IBISML2015-71
pp.139-146
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Breakdown Point of Robust Support Vector Machine
Takafumi Kanamori (Nagoya Univ.), Shuhei Fujiwara, Akiko Takeda (Univ. of Tokyo) IBISML2014-41
The support vector machine (SVM) is one of the most successful learning methods for solving classification
problems. D... [more]
IBISML2014-41
pp.49-56
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle
Kota Matsui (Nagoya Inst. of Tech.), Wataru Kumagai (Kanagawa Univ.), Takafumi Kanamori (Nagoya Univ.) IBISML2014-67
This paper provides a block coordinate descent algorithm to solve unconstrained optimization prob- lems. In our algorith... [more] IBISML2014-67
pp.243-250
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Robust Estimation under Heavy Contamination using Unnormalized Models
Takafumi Kanamori (Nagoya Univ.), Hironori Fujisawa (ISM) IBISML2014-68
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. ... [more] IBISML2014-68
pp.251-258
IBISML 2013-03-05
14:10
Aichi Nagoya Institute of Technology Constrained Least-Squares Density-Difference Estimation
Tuan Duong Nguyen, Marthinus Christoffel du Plessis (Tokyo Inst. of Tech.), Takafumi Kanamori (Nagoya Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2012-104
We address the problem of estimating the difference between two probability densities. A naive approach is a two-step pr... [more] IBISML2012-104
pp.79-86
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 2011-03-29
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, 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
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