Kawarabayashi, Ken-ichi

38 publications

AAAI 2024 New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem Koji Ichikawa, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2023 Bandit Task Assignment with Unknown Processing Time Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

AAAI 2022 Online Task Assignment Problems with Reusable Resources Hanna Sumita, Shinji Ito, Kei Takemura, Daisuke Hatano, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

AISTATS 2021 A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

ICLR 2021 How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Shaolei Du, Ken-Ichi Kawarabayashi, Stefanie Jegelka

AAAI 2021 Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2020 Delay and Cooperation in Nonstochastic Linear Bandits Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

ICLR 2020 What Can Neural Networks Reason About? Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka

NeurIPS 2019 Improved Regret Bounds for Bandit Combinatorial Optimization Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

NeurIPS 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback Shinji Ito, Daisuke Hatano, Hanna Sumita, Kei Takemura, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

AAAI 2019 Stochastic Submodular Maximization with Performance-Dependent Item Costs Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi

ICML 2018 Causal Bandits with Propagating Inference Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi

AISTATS 2018 Online Regression with Partial Information: Generalization and Linear Projection Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

ICML 2018 Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, Stefanie Jegelka

IJCAI 2018 Think Globally, Embed Locally - Locally Linear Meta-Embedding of Words Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi

AAAI 2018 Using K-Way Co-Occurrences for Learning Word Embeddings Danushka Bollegala, Yuichi Yoshida, Ken-ichi Kawarabayashi

IJCAI 2017 An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization Hanna Sumita, Yuma Yonebayashi, Naonori Kakimura, Ken-ichi Kawarabayashi

NeurIPS 2017 Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-Ichi Kawarabayashi

AAAI 2017 Optimal Pricing for Submodular Valuations with Bounded Curvature Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi

AAAI 2017 Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

IJCAI 2016 Adaptive Budget Allocation for Maximizing Influence of Advertisements Daisuke Hatano, Takuro Fukunaga, Ken-ichi Kawarabayashi

AAAI 2016 Expected Tensor Decomposition with Stochastic Gradient Descent Takanori Maehara, Kohei Hayashi, Ken-ichi Kawarabayashi

IJCAI 2016 Identifying Key Observers to Find Popular Information in Advance Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi

AAAI 2016 Joint Word Representation Learning Using a Corpus and a Semantic Lexicon Danushka Bollegala, Mohammed Alsuhaibani, Takanori Maehara, Ken-ichi Kawarabayashi

ECML-PKDD 2016 Maximizing Time-Decaying Influence in Social Networks Naoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi

ICML 2015 Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View Takanori Maehara, Akihiro Yabe, Ken-ichi Kawarabayashi

IJCAI 2015 Embedding Semantic Relations into Word Representations Danushka Bollegala, Takanori Maehara, Ken-ichi Kawarabayashi

AAAI 2015 Lagrangian Decomposition Algorithm for Allocating Marketing Channels Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

AAAI 2015 Learning Word Representations from Relational Graphs Danushka Bollegala, Takanori Maehara, Yuichi Yoshida, Ken-ichi Kawarabayashi

AAAI 2014 Fast and Accurate Influence Maximization on Large Networks with Pruned Monte-Carlo Simulations Naoto Ohsaka, Takuya Akiba, Yuichi Yoshida, Ken-ichi Kawarabayashi

ICML 2014 Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm Tasuku Soma, Naonori Kakimura, Kazuhiro Inaba, Ken-ichi Kawarabayashi

AAAI 2014 Solving the Traveling Tournament Problem by Packing Three-Vertex Paths Marc Goerigk, Richard Hoshino, Ken-ichi Kawarabayashi, Stephan Westphal

IJCAI 2013 Mining for Analogous Tuples from an Entity-Relation Graph Danushka Bollegala, Mitsuru Kusumoto, Yuichi Yoshida, Ken-ichi Kawarabayashi

JAIR 2012 Generating Approximate Solutions to the TTP Using a Linear Distance Relaxation Richard Hoshino, Ken-ichi Kawarabayashi

AAAI 2012 The Linear Distance Traveling Tournament Problem Richard Hoshino, Ken-ichi Kawarabayashi

JAIR 2011 Scheduling Bipartite Tournaments to Minimize Total Travel Distance Richard Hoshino, Ken-ichi Kawarabayashi

AAAI 2011 The Inter-League Extension of the Traveling Tournament Problem and Its Application to Sports Scheduling Richard Hoshino, Ken-ichi Kawarabayashi