Maehara, Takanori

24 publications

NeurIPS 2024 Deep Homomorphism Networks Takanori Maehara, Hoang Nt

ICLRW 2024 ResTran: A GNN Alternative to Learn a Graph with Features Shota Saito, Takanori Maehara, Mark Herbster

NeurIPS 2021 Learning on Random Balls Is Sufficient for Estimating (Some) Graph Parameters Takanori Maehara, Hoang Nt

IJCAI 2020 Convexity of B-Matching Games Soh Kumabe, Takanori Maehara

AAAI 2020 Faking Fairness via Stealthily Biased Sampling Kazuto Fukuchi, Satoshi Hara, Takanori Maehara

ICML 2020 Graph Homomorphism Convolution Hoang Nguyen, Takanori Maehara

NeurIPS 2019 Data Cleansing for Models Trained with SGD Satoshi Hara, Atsushi Nitanda, Takanori Maehara

IJCAI 2019 Exact Bernoulli Scan Statistics Using Binary Decision Diagrams Masakazu Ishihata, Takanori Maehara

AAAI 2019 Group Decision Diagram (GDD): A Compact Representation for Permutations Takanori Maehara, Yuma Inoue

AAAI 2019 Subspace Selection via DR-Submodular Maximization on Lattices So Nakashima, Takanori Maehara

AAAI 2018 Dynamic Determinantal Point Processes Takayuki Osogami, Rudy Raymond, Akshay Goel, Tomoyuki Shirai, Takanori Maehara

ICML 2018 Neural Inverse Rendering for General Reflectance Photometric Stereo Tatsunori Taniai, Takanori Maehara

IJCAI 2018 Optimal Bidding Strategy for Brand Advertising Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata

AISTATS 2018 Statistically Efficient Estimation for Non-Smooth Probability Densities Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida

AAAI 2017 Enumerate Lasso Solutions for Feature Selection Satoshi Hara, Takanori Maehara

NeurIPS 2017 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi

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

AAAI 2016 Expected Tensor Decomposition with Stochastic Gradient Descent Takanori Maehara, 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

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