3 papers
math.ST2026
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…
stat.ML2024
Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances
Takafumi Kanamori, Kodai Yokoyama, Takayuki Kawashima
In statistical inference, we commonly assume that samples are independent and identically distributed from a probability distribution included in a pre-specified statistical model.…
stat.ML2018
Stochastic Gradient Descent for Stochastic Doubly-Nonconvex Composite Optimization
Takayuki Kawashima, Hironori Fujisawa
The stochastic gradient descent has been widely used for solving composite optimization problems in big data analyses. Many algorithms and convergence properties have been develope…