35 citations · 176 across the 22 of their papers we have counts for
4 papers · 1 filter
Adversarial Robust Low Rank Matrix Estimation: Compressed Sensing and Matrix Completion
Takeyuki Sasai, Hironori Fujisawa
We consider robust low rank matrix estimation as a trace regression when outputs are contaminated by adversaries. The adversaries are allowed to add arbitrary values to arbitrary o…
Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis
Kazuharu Harada, Hironori Fujisawa
We consider the problem of inferring the causal structure from observational data, especially when the structure is sparse. This type of problem is usually formulated as an inferen…
Transfer Learning via Regularization
Masaaki Takada, Hironori Fujisawa
Machine learning algorithms typically require abundant data under a stationary environment. However, environments are nonstationary in many real-world applications. Critical issues…
Robust estimation with Lasso when outputs are adversarially contaminated
Takeyuki Sasai, Hironori Fujisawa
We consider robust estimation when outputs are adversarially contaminated. Nguyen and Tran (2012) proposed an extended Lasso for robust parameter estimation and then they showed th…