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Takimoto, Eiji
35 publications
NeurIPSW
2022
Boosting as Frank-Wolfe
Ryotaro Mitsuboshi
,
Kohei Hatano
,
Eiji Takimoto
UAI
2022
Simplified and Unified Analysis of Various Learning Problems by Reduction to Multiple-Instance Learning
Daiki Suehiro
,
Eiji Takimoto
ACML
2021
An Online Semi-Definite Programming with a Generalised Log-Determinant Regularizer and Its Applications
Yaxiong Liu
,
Ken-ichiro Moridomi
,
Kohei Hatano
,
Eiji Takimoto
ACML
2021
Expert Advice Problem with Noisy Low Rank Loss
Yaxiong Liu
,
Xuanke Jiang
,
Kohei Hatano
,
Eiji Takimoto
ALT
2016
A Combinatorial Metrical Task System Problem Under the Uniform Metric
Takumi Nakazono
,
Ken-ichiro Moridomi
,
Kohei Hatano
,
Eiji Takimoto
COLT
2015
Minimax Fixed-Design Linear Regression
Peter L. Bartlett
,
Wouter M. Koolen
,
Alan Malek
,
Eiji Takimoto
,
Manfred K. Warmuth
COLT
2015
Online Density Estimation of Bradley-Terry Models
Issei Matsumoto
,
Kohei Hatano
,
Eiji Takimoto
ALT
2015
Online Linear Optimization for Job Scheduling Under Precedence Constraints
Takahiro Fujita
,
Kohei Hatano
,
Shuji Kijima
,
Eiji Takimoto
ALT
2014
Bandit Online Optimization over the Permutahedron
Nir Ailon
,
Kohei Hatano
,
Eiji Takimoto
ACML
2014
Online Matrix Prediction for Sparse Loss Matrices
Ken-ichiro Moridomi
,
Kohei Hatano
,
Eiji Takimoto
,
Koji Tsuda
ALT
2013
Combinatorial Online Prediction via Metarounding
Takahiro Fujita
,
Kohei Hatano
,
Eiji Takimoto
ALT
2013
Efficient Algorithms for Combinatorial Online Prediction
Eiji Takimoto
,
Kohei Hatano
ALT
2012
Online Prediction Under Submodular Constraints
Daiki Suehiro
,
Kohei Hatano
,
Shuji Kijima
,
Eiji Takimoto
,
Kiyohito Nagano
ACML
2012
Online Rank Aggregation
Shota Yasutake
,
Kohei Hatano
,
Eiji Takimoto
,
Masayuki Takeda
ALT
2011
Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization
Daiki Suehiro
,
Kohei Hatano
,
Eiji Takimoto
ALT
2008
Smooth Boosting for Margin-Based Ranking
Jun-ichi Moribe
,
Kohei Hatano
,
Eiji Takimoto
,
Masayuki Takeda
ALT
2007
Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings
Marcus Hutter
,
Rocco A. Servedio
,
Eiji Takimoto
ALT
2007
Editors' Introduction
Marcus Hutter
,
Rocco A. Servedio
,
Eiji Takimoto
ALT
2005
Online Allocation with Risk Information
Shigeaki Harada
,
Eiji Takimoto
,
Akira Maruoka
ALT
2004
Boosting Based on Divide and Merge
Eiji Takimoto
,
Syuhei Koya
,
Akira Maruoka
ALT
2003
Algorithmic Learning Theory, 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings
Ricard GavaldÃ
,
Klaus P. Jantke
,
Eiji Takimoto
JMLR
2003
Path Kernels and Multiplicative Updates
Eiji Takimoto
,
Manfred K. Warmuth
COLT
2002
Path Kernels and Multiplicative Updates
Eiji Takimoto
,
Manfred K. Warmuth
ALT
2000
The Last-Step Minimax Algorithm
Eiji Takimoto
,
Manfred K. Warmuth
COLT
2000
The Minimax Strategy for Gaussian Density Estimation. Pp
Eiji Takimoto
,
Manfred K. Warmuth
ALT
1999
Predicting Nearly as Well as the Best Pruning of a Planar Decision Graph
Eiji Takimoto
,
Manfred K. Warmuth
ALT
1998
Structured Weight-Based Prediction Algorithms
Akira Maruoka
,
Eiji Takimoto
ALT
1997
A Simple Algorithm for Predicting Nearly as Well as the Best Pruning Labeled with the Best Prediction Values of a Decision Tree
Eiji Takimoto
,
Ken'ichi Hirai
,
Akira Maruoka
ALT
1996
Learnability of Exclusive-or Expansion Based on Monotone DNF Formulas
Eiji Takimoto
,
Yoshifumi Sakai
,
Akira Maruoka
ALT
1995
Learning Orthogonal F-Horn Formulas
Akira Miyashiro
,
Eiji Takimoto
,
Yoshifumi Sakai
,
Akira Maruoka
COLT
1995
Proper Learning Algorithm for Functions of K Terms Under Smooth Distributions
Yoshifumi Sakai
,
Eiji Takimoto
,
Akira Maruoka
ALT
1994
Mutual Information Gaining Algorithm and Its Relation to PAC-Learning Algorithm
Eiji Takimoto
,
Ichiro Tajika
,
Akira Maruoka
COLT
1993
Conservativeness and Monotonicity for Learning Algorithms
Eiji Takimoto
,
Akira Maruoka
ALT
1993
On the Sample Complexity of Consistent Learning with One-Sided Error
Eiji Takimoto
,
Akira Maruoka
ALT
1991
Relationships Between PAC-Learning Algorithms and Weak Occam Algorithms
Eiji Takimoto
,
Akira Maruoka