28 citations · 94 across the 27 of their papers we have counts for
4 papers · 1 filter
Bootstrap Error Estimation and Sketch-Size Selection for Sketched Ridge Regression
Akito Narahara, Takayuki Kawashima, Takafumi Kanamori
Randomized sketching reduces the computational cost of large ridge-regression problems, but the coefficient error depends on the realized sketch. We extend the paired-row bootstrap…
Graph-based Composite Local Bregman Divergences on Discrete Sample Spaces
Takafumi Kanamori, Takashi Takenouchi
One of the most common methods for statistical inference is the maximum likelihood estimator (MLE). The MLE needs to compute the normalization constant in statistical models, and i…
Robust Estimation under Heavy Contamination using Enlarged Models
Takafumi Kanamori, Hironori Fujisawa
In data analysis, contamination caused by outliers is inevitable, and robust statistical methods are strongly demanded. In this paper, our concern is to develop a new approach for…
Affine Invariant Divergences associated with Composite Scores and its Applications
Takafumi Kanamori, Hironori Fujisawa
In statistical analysis, measuring a score of predictive performance is an important task. In many scientific fields, appropriate scores were tailored to tackle the problems at han…