Relationships between PAC-learning algorithms and weak Occam algorithms. - Eiji Takimoto; Akira Maruoka (ALT, 1991)

Conservativeness and Monotonicity for Learning Algorithms. - Eiji Takimoto; Akira Maruoka (COLT, 1993)

Relationships between learning and information compression based on PAC learning model. - Eiji Takimoto; Akira Maruoka (Syst. Comput. Jpn., 1993)

Mutual Information Gaining Algorithm and Its Relation to PAC-Learning Algorithm. - Eiji Takimoto; Ichiro Tajika; Akira Maruoka (AII/ALT, 1994)

Learning Orthogonal F-Horn Formulas. - Akira Miyashiro; Eiji Takimoto; Yoshifumi Sakai; Akira Maruoka (ALT, 1995)

Proper Learning Algorithm for Functions of k Terms Under Smooth Distributions. - Yoshifumi Sakai; Eiji Takimoto; Akira Maruoka (COLT, 1995)

On the Sample Complexity of Consistent Learning with One-Sided Error. - Eiji Takimoto; Akira Maruoka (IEICE Trans. Inf. Syst., 1995)

Learnability of Exclusive-Or Expansion Based on Monotone DNF Formulas. - Eiji Takimoto; Yoshifumi Sakai; Akira Maruoka (ALT, 1996)

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, 1997)

Learning Orthogonal F-Horn Formulas. - Eiji Takimoto; Akira Miyashiro; Akira Maruoka; Yoshifumi Sakai (Theor. Comput. Sci., 1997)

Structured Weight-Based Prediction Algorithms. - Akira Maruoka; Eiji Takimoto (ALT, 1998)

On the Boosting Algorithm for Multiclass Functions Based on Information-Theoretic Criterion for Approxiamtion. - Eiji Takimoto; Akira Maruoka (Discovery Science, 1998)

Proper Learning Algorithm for Functions of k Terms under Smooth Distributions. - Yoshifumi Sakai; Eiji Takimoto; Akira Maruoka (Inf. Comput., 1999)

The Last-Step Minimax Algorithm. - Eiji Takimoto; Manfred K. Warmuth (ALT, 2000)

The Minimax Strategy for Gaussian Density Estimation. pp. - Eiji Takimoto; Manfred K. Warmuth (COLT, 2000)

On-Line Estimation of Hidden Markov Model Parameters. - Jun Mizuno; Tasuya Watanabe; Kazuya Ueki; Kazuyuki Amano; Eiji Takimoto; Akira Maruoka (Discovery Science, 2000)

The learnability of exclusive-or expansions based on monotone DNF formulas. - Eiji Takimoto; Yoshifumi Sakai; Akira Maruoka (Theor. Comput. Sci., 2000)

Predicting nearly as well as the best pruning of a decision tree through dynamic programming scheme. - Eiji Takimoto; Akira Maruoka; Volodya Vovk (Theor. Comput. Sci., 2001)

On-Line Algorithm to Predict Nearly as Well as the Best Pruning of a Decision Tree. - Akira Maruoka; Eiji Takimoto (Progress in Discovery Science, 2002)

Top-Down Decision Tree Boosting and Its Applications. - Eiji Takimoto; Akira Maruoka (Progress in Discovery Science, 2002)

Predicting nearly as well as the best pruning of a planar decision graph. - Eiji Takimoto; Manfred K. Warmuth (Theor. Comput. Sci., 2002)

Path Kernels and Multiplicative Updates. - Eiji Takimoto; Manfred K. Warmuth (J. Mach. Learn. Res., 2003)

Top-down decision tree learning as information based boosting. - Eiji Takimoto; Akira Maruoka (Theor. Comput. Sci., 2003)

Boosting Based on Divide and Merge. - Eiji Takimoto; Syuhei Koya; Akira Maruoka (ALT, 2004)

Relationships between Horn Formulas and XOR-MDNF Formulas. - Kenshi Matsuo; Tetsuya Koyama; Eiji Takimoto; Akira Maruoka (IEICE Trans. Inf. Syst., 2004)

Aggregating Strategy for Online Auctions. - Shigeaki Harada; Eiji Takimoto; Akira Maruoka (COCOON, 2006)

Online Allocation with Risk Information. - Shigeaki Harada; Eiji Takimoto; Akira Maruoka (IEICE Trans. Inf. Syst., 2006)

Foreword. - Ricard Gavaldà; Eiji Takimoto (Theor. Comput. Sci., 2006)

Editors' Introduction. - Marcus Hutter; Rocco A. Servedio; Eiji Takimoto (ALT, 2007)

An Exponential Lower Bound on the Size of Constant-Depth Threshold Circuits with Small Energy Complexity. - Kei Uchizawa; Eiji Takimoto (CCC, 2007)

Evaluation of Multi-Channel Flooding for Inter-Vehicle Communication. - Eiji Takimoto; Yoshihisa Kondo; Satoko Itaya; Ryutaro Suzuki; Sadao Obana (AINA Workshops, 2008)

Smooth Boosting for Margin-Based Ranking. - Jun-ichi Moribe; Kohei Hatano; Eiji Takimoto; Masayuki Takeda (ALT, 2008)

Monotone DNF Formula That Has a Minimal or Maximal Number of Satisfying Assignments. - Takayuki Sato; Kazuyuki Amano; Eiji Takimoto; Akira Maruoka (COCOON, 2008)

Exponential lower bounds on the size of constant-depth threshold circuits with small energy complexity. - Kei Uchizawa; Eiji Takimoto (Theor. Comput. Sci., 2008)

Lower Bounds on Quantum Query Complexity for Read-Once Decision Trees with Parity Nodes. - Hideaki Fukuhara; Eiji Takimoto (CATS, 2009)

Linear Programming Boosting by Column and Row Generation. - Kohei Hatano; Eiji Takimoto (Discovery Science, 2009)

Energy Complexity and Depth of Threshold Circuits. - Kei Uchizawa; Takao Nishizeki; Eiji Takimoto (FCT, 2009)

Size and Energy of Threshold Circuits Computing Mod Functions. - Kei Uchizawa; Takao Nishizeki; Eiji Takimoto (MFCS, 2009)

Lower Bounds on Quantum Query Complexity for Read-Once Formulas with XOR and MUX Operators. - Hideaki Fukuhara; Eiji Takimoto (IEICE Trans. Inf. Syst., 2010)

NPN-Representatives of a Set of Optimal Boolean Formulas. - Hideaki Fukuhara; Eiji Takimoto; Kazuyuki Amano (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Energy and depth of threshold circuits. - Kei Uchizawa; Takao Nishizeki; Eiji Takimoto (Theor. Comput. Sci., 2010)

Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization. - Daiki Suehiro; Kohei Hatano; Eiji Takimoto (ALT, 2011)

Online Linear Optimization over Permutations. - Shota Yasutake; Kohei Hatano; Shuji Kijima; Eiji Takimoto; Masayuki Takeda (ISAAC, 2011)

Lower Bounds for Linear Decision Trees via an Energy Complexity Argument. - Kei Uchizawa; Eiji Takimoto (MFCS, 2011)

Adaptive Online Prediction Using Weighted Windows. - Shin-ichi Yoshida; Kohei Hatano; Eiji Takimoto; Masayuki Takeda (IEICE Trans. Inf. Syst., 2011)

Size-energy tradeoffs for unate circuits computing symmetric Boolean functions. - Kei Uchizawa; Eiji Takimoto; Takao Nishizeki (Theor. Comput. Sci., 2011)

Online Prediction under Submodular Constraints. - Daiki Suehiro; Kohei Hatano; Shuji Kijima; Eiji Takimoto; Kiyohito Nagano (ALT, 2012)

Online Rank Aggregation. - Shota Yasutake; Kohei Hatano; Eiji Takimoto; Masayuki Takeda (ACML, 2012)

Combinatorial Online Prediction via Metarounding. - Takahiro Fujita; Kohei Hatano; Eiji Takimoto (ALT, 2013)

Efficient Algorithms for Combinatorial Online Prediction. - Eiji Takimoto; Kohei Hatano (ALT, 2013)

Online matrix prediction for sparse loss matrices. - Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto; Koji Tsuda (ACML, 2014)

Efficient Sampling Method for Monte Carlo Tree Search Problem. - Kazuki Teraoka; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2014)

Online Linear Optimization for Job Scheduling Under Precedence Constraints. - Takahiro Fujita; Kohei Hatano; Shuji Kijima; Eiji Takimoto (ALT, 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 (COLT, 2015)

Lower Bounds for Linear Decision Trees with Bounded Weights. - Kei Uchizawa; Eiji Takimoto (SOFSEM, 2015)

A Combinatorial Metrical Task System Problem Under the Uniform Metric. - Takumi Nakazono; Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto (ALT, 2016)

Bandit online optimization over the permutahedron. - Nir Ailon; Kohei Hatano; Eiji Takimoto (Theor. Comput. Sci., 2016)

Boosting the kernelized shapelets: Theory and algorithms for local features. - Daiki Suehiro; Kohei Hatano; Eiji Takimoto; Shuji Yamamoto; Kenichi Bannai; Akiko Takeda (CoRR, 2017)

User-Side Updating of Third-Party Libraries for Android Applications. - Hiroki Ogawa; Eiji Takimoto; Koichi Mouri; Shoichi Saito (CANDAR Workshops, 2018)

Decision Diagrams for Solving a Job Scheduling Problem Under Precedence Constraints. - Kosuke Matsumoto; Kohei Hatano; Eiji Takimoto (SEA, 2018)

Multiple-Instance Learning by Boosting Infinitely Many Shapelet-based Classifiers. - Daiki Suehiro; Kohei Hatano; Eiji Takimoto; Shuji Yamamoto; Kenichi Bannai; Akiko Takeda (CoRR, 2018)

Online Combinatorial Optimization with Multiple Projections and Its Application to Scheduling Problem. - Takahiro Fujita; Kohei Hatano; Shuji Kijima; Eiji Takimoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Online Linear Optimization with the Log-Determinant Regularizer. - Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2018)

Tighter Generalization Bounds for Matrix Completion Via Factorization Into Constrained Matrices. - Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2018)

Efficient Reformulation of 1-Norm Ranking SVM. - Daiki Suehiro; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2018)

Prevention of Data Leakage due to Implicit Information Flows in Android Applications. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (AsiaJCIS, 2019)

Recognition of Japanese Historical Hand-Written Characters Based on Object Detection Methods. - Yiping Tang; Kohei Hatano; Eiji Takimoto (HIP@ICDAR, 2019)

Succinct Representation of Linear Extensions via MDDs and Its Application to Scheduling Under Precedence Constraints. - Fumito Miyake; Eiji Takimoto; Kohei Hatano (IWOCA, 2019)

Minimax Optimal Stochastic Strategy (MOSS) For Neighbor Discovery and Selection In Millimeter Wave D2D Networks. - Sherief Hashima; Kohei Hatano; Eiji Takimoto; Ehab Mahmoud Mohamed (WPMC, 2020)

A generalised log-determinant regularizer for online semi-definite programming and its applications. - Yaxiong Liu; Ken-ichiro Moridomi; Kohei Hatano; Eiji Takimoto (CoRR, 2020)

Neighbor Discovery and Selection in Millimeter Wave D2D Networks Using Stochastic MAB. - Sherief Hashima; Kohei Hatano; Eiji Takimoto; Ehab Mahmoud Mohamed (IEEE Commun. Lett., 2020)

Theory and Algorithms for Shapelet-Based Multiple-Instance Learning. - Daiki Suehiro; Kohei Hatano; Eiji Takimoto; Shuji Yamamoto; Kenichi Bannai; Akiko Takeda (Neural Comput., 2020)

Boosting over non-deterministic ZDDs. - Takahiro Fujita; Kohei Hatano; Eiji Takimoto (Theor. Comput. Sci., 2020)

VTDroid: Value-based Tracking for Overcoming Anti-Taint-Analysis Techniques in Android Apps. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (ARES, 2021)

Expert advice problem with noisy low rank loss. - Yaxiong Liu; Xuanke Jiang; Kohei Hatano; 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)

WiGig Wireless Sensor Selection Using Sophisticated Multi Armed Bandit Schemes. - Sherief Hashima; Ehab Mahmoud Mohamed; Kohei Hatano; Eiji Takimoto (ICMU, 2021)

Improved Algorithms for Online Load Balancing. - Yaxiong Liu; Kohei Hatano; Eiji Takimoto (SOFSEM, 2021)

Performance Evaluation of Heterogeneous Cellular Networks Using Stochastic Petri Nets. - Zhiyi Zhu; Toshikazu Nishimura; Eiji Takimoto; Junjun Zheng (SoftCOM, 2021)

Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning. - Daiki Suehiro; Eiji Takimoto (UAI, 2022)

Boosting as Frank-Wolfe. - Ryotaro Mitsuboshi; Kohei Hatano; Eiji Takimoto (CoRR, 2022)

Firewall Traversal Method by Pseudo-TCP Encapsulation. - Keigo Taga; Junjun Zheng; Koichi Mouri; Shoichi Saito; Eiji Takimoto (IEICE Trans. Inf. Syst., 2022)

Value-utilized taint propagation: toward precise detection of apps' information flows across Android API calls. - Hiroki Inayoshi; Shohei Kakei; Eiji Takimoto; Koichi Mouri; Shoichi Saito (Int. J. Inf. Sec., 2022)

Extended Formulations via Decision Diagrams. - Yuta Kurokawa; Ryotaro Mitsuboshi; Haruki Hamasaki; Kohei Hatano; Eiji Takimoto; Holakou Rahmanian (COCOON (2), 2023)

Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks. - Yiping Tang; Kohei Hatano; Eiji Takimoto (DS, 2023)

A Dual-Objective Bandit-Based Opportunistic Band Selection Strategy for Hybrid-Band V2X Metaverse Content Update. - Sherief Hashima; Zubair Md Fadlullah; Mostafa M. Fouda; Kohei Hatano; Eiji Takimoto; Mohsen Guizani (GLOBECOM, 2023)

Advanced Learning Schemes for Metaverse Applications in B5G/6G Networks. - Sherief Hashima; Mostafa M. Fouda; Kohei Hatano; Eiji Takimoto (MetaCom, 2023)

On Enhancing WiGig Communications With A UAV-Mounted RIS System: A Contextual Multi-Armed Bandit Approach. - Sherief Hashima; Ehab Mahmoud Mohamed; Kohei Hatano; Eiji Takimoto; Mostafa M. Fouda; Zubair Md Fadlullah (PIMRC, 2023)

Load Balancing Multi-Player MAB Approaches for RIS-Aided mmWave User Association. - Ehab Mahmoud Mohamed; Sherief Hashima; Kohei Hatano; Eiji Takimoto; Mohamed Abdel-Nasser (IEEE Access, 2023)

Pure exploration in multi-armed bandits with low rank structure using oblivious sampler. - Yaxiong Liu; Atsuyoshi Nakamura; Kohei Hatano; Eiji Takimoto (CoRR, 2023)

An Improved Metarounding Algorithm via Frank-Wolfe. - Ryotaro Mitsuboshi; Kohei Hatano; Eiji Takimoto (CoRR, 2023)

Opportunistic Downlink User Connectivity in NOMA Enhanced NB-IoT Systems, A Semi-Matching Approach. - Xuanke Jiang; Sherief Hashima; Kohei Hatano; Eiji Takimoto (WCNC, 2024)

A CQI and Hysteretic-Based Decision Algorithm to Prevent Handover Failures for Pedestrian Mobility in Mobile Communication HetNet. - Zhiyi Zhu; Eiji Takimoto; Patrick Finnerty; Chikara Ohta (IEEE Access, 2024)

Online Job Scheduling with K Servers. - Xuanke Jiang; Sherief Hashima; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2024)

Solving Linear Regression with Insensitive Loss by Boosting. - Ryotaro Mitsuboshi; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2024)

Rotation-Invariant Convolution Networks with Hexagon-Based Kernels. - Yiping Tang; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2024)

Online Combinatorial Linear Optimization via a Frank-Wolfe-Based Metarounding Algorithm. - Ryotaro Mitsuboshi; Kohei Hatano; Eiji Takimoto (IEICE Trans. Inf. Syst., 2025)

Multi-objective Good Arm Identification with Bandit Feedback. - Xuanke Jiang; Kohei Hatano; Eiji Takimoto (CoRR, 2025)

Adversarial bandit optimization for approximately linear functions. - Zhuoyu Cheng; Kohei Hatano; Eiji Takimoto (CoRR, 2025)

NR Cell Identity-based Handover Decision-making Algorithm for High-speed Scenario within Dual Connectivity. - Zhiyi Zhu; Eiji Takimoto; Patrick Finnerty; Junjun Zheng; Shoma Suzuki; Chikara Ohta (CoRR, 2025)

A Study on E2E Performance Improvement of Platooning Using Outdoor LiFi. - Zhiyi Zhu; Eiji Takimoto; Patrick Finnerty; Chikara Ohta (CoRR, 2025)