Washio, Takashi

18 publications

MLJ 2019 Lowest Probability Mass Neighbour Algorithms: Relaxing the Metric Constraint in Distance-Based Neighbourhood Algorithms Kai Ming Ting, Ye Zhu, Mark J. Carman, Yue Zhu, Takashi Washio, Zhi-Hua Zhou

ACML 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai

AISTATS 2018 Cause-Effect Inference by Comparing Regression Errors Patrick Blöbaum, Dominik Janzing, Takashi Washio, Shohei Shimizu, Bernhard Schölkopf

MLJ 2018 Local Contrast as an Effective Means to Robust Clustering Against Varying Densities Bo Chen, Kai Ming Ting, Takashi Washio, Ye Zhu

MLJ 2017 Defying the Gravity of Learning Curve: A Characteristic of Nearest Neighbour Anomaly Detectors Kai Ming Ting, Takashi Washio, Jonathan R. Wells, Sunil Aryal

MLJ 2015 Half-Space Mass: A Maximally Robust and Efficient Data Depth Method Bo Chen, Kai Ming Ting, Takashi Washio, Gholamreza Haffari

NeurIPS 2012 Weighted Likelihood Policy Search with Model Selection Tsuyoshi Ueno, Kohei Hayashi, Takashi Washio, Yoshinobu Kawahara

ECML-PKDD 2011 Common Substructure Learning of Multiple Graphical Gaussian Models Satoshi Hara, Takashi Washio

JMLR 2011 DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen

UAI 2011 Discovering Causal Structures in Binary Exclusive-or Skew Acyclic Models Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara

NeurIPS 2011 Prismatic Algorithm for Discrete D.C. Programming Problem Yoshinobu Kawahara, Takashi Washio

IJCAI 2005 Discovering Time Differential Law Equations Containing Hidden State Variables and Chaotic Dynamics Takashi Washio, Fuminori Adachi, Hiroshi Motoda

MLJ 2003 Complete Mining of Frequent Patterns from Graphs: Mining Graph Data Akihiro Inokuchi, Takashi Washio, Hiroshi Motoda

ECML-PKDD 2001 Discovering Admissible Simultaneous Equation Models from Observed Data Takashi Washio, Hiroshi Motoda, Yuji Niwa

ICML 2000 Enhancing the Plausibility of Law Equation Discovery Takashi Washio, Hiroshi Motoda, Yuji Niwa

IJCAI 1999 Discovering Admissible Model Equations from Observed Data Based on Scale-Types and Identity Constrains Takashi Washio, Hiroshi Motoda, Yuji Niwa

AAAI 1998 Discovering Admissible Simultaneous Equations of Large Scale Systems Takashi Washio, Hiroshi Motoda

IJCAI 1997 Discovering Admissible Models of Complex Systems Based on Scale-Types and Idemtity Constraints Takashi Washio, Hiroshi Motoda