Information and Systems-Information-Based Induction Sciences and Machine Learning(Date:2014/11/10)

Presentation
An Online Policy Gradient Algorithm for Continuous State and Action Markov Decision Processes with Bandit Feedback

Yao MA,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-53
Efficient Method for Computing Belief Propagation, with Application to CDMA Multiuser Detection

Arise KURIYA,  Toshiyuki TANAKA,  

[Date]2014/11/10
[Paper #]IBISML2014-54
Target Shift Adaptation for Conditional Density Estimation and Regression

Than Duong NGUYEN,  PLESSIS Marthinus Christoffel DU,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-55
Training Algorithm for Restricted Boltzmann Machines Using Auxiliary Function Approach

Norihiro TAKAMUNE,  Hirokazu KAMEOKA,  

[Date]2014/11/10
[Paper #]IBISML2014-56
Unified approach for auditory scene analysis based on multichannel factorial hidden Markov model

Takuya HIGUCHI,  Hirokazu KAMEOKA,  

[Date]2014/11/10
[Paper #]IBISML2014-57
Regularized multi-task learning for multi-dimensional log-density gradient estimation

Ikko YAMANE,  Hiroaki SASAKI,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-58
Online Direct Density-ratio Estimation under the Kullback-Leibler Loss

PLESSIS Marthinus Christoffel DU,  Hiroaki SHIINO,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-59
An Infinite Superimposed Discrete All-pole Model based on Gamma Processes for Music Signal Analysis

Kazuyoshi YOSHII,  Katsutoshi ITOYAMA,  Masataka GOTO,  

[Date]2014/11/10
[Paper #]IBISML2014-60
A note on least angle regression in orthogonal case

Katsuyuki HAGIWARA,  

[Date]2014/11/10
[Paper #]IBISML2014-61
Denoising High-dimensional Sequences with the Bidirectional Recurrent Restricted Boltzmann Machine

Shoken KANEKO,  

[Date]2014/11/10
[Paper #]IBISML2014-62
Optimization Method of LASSO Hyperparameter using WAIC

Dai MIYAZAKI,  Sumio WATANABE,  

[Date]2014/11/10
[Paper #]IBISML2014-63
Asymptotic Analysis of Variational Bayesian Latent Dirichlet Allocation

Shinichi NAKAJIMA,  Issei SATO,  Masashi SUGIYAMA,  Kazuho WATANABE,  Hiroko KOBAYASHI,  

[Date]2014/11/10
[Paper #]IBISML2014-64
Learning from Positive and Unlabeled Data 1 : Classifier Training and Theoretical Analysis

PLESSIS Marthinus Christoffel DU,  Gang NIU,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-65
Learning from Positive and Unlabeled Data 2 : Computationally Efficient Estimation of Class Priors

PLESSIS Marthinus Christoffel DU,  Gang NIU,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-66
Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle

Kota MATSUI,  Wataru KUMAGAI,  Takafumi KANAMORI,  

[Date]2014/11/10
[Paper #]IBISML2014-67
Robust Estimation under Heavy Contamination using Unnormalized Models

Takafumi Kanamori,  Hironori Fujisawa,  

[Date]2014/11/10
[Paper #]IBISML2014-68
Unsupervised Dimension Reduction via Least-Squares Quadratic Mutual Information

Janya SAINUI,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-69
Support Consistency of Direct Sparse-Change Learning in Markov Networks

Song LIU,  Taiji SUZUKI,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-70
Coping with Class Balance Change in Classification : Class-Prior Estimation with Energy Distance

Hideko KAWAKUBO,  PLESSIS Christoffel DU,  Masashi SUGIYAMA,  

[Date]2014/11/10
[Paper #]IBISML2014-71
Gauge Theory on Measure Space : τ-Information Geometry

Masaru TANAKA,  

[Date]2014/11/10
[Paper #]IBISML2014-72
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